Digital Commons Network^™

Privacy-Preserving Trajectory Data Publishing Via Differential Privacy, Ishita Dwivedi

Boise State University Theses and Dissertations

Over the past decade, the collection of data by individuals, businesses and government agencies has increased tremendously. Due to the widespread of mobile computing and the advances in location-acquisition techniques, an immense amount of data concerning the mobility of moving objects have been generated. The movement data of an object (e.g. individual) might include specific information about the locations it visited, the time those locations were visited, or both. While it is beneficial to share data for the purpose of mining and analysis, data sharing might risk the privacy of the individuals involved in the data. Privacy-Preserving Data Publishing (PPDP) …

Cultivating Community Interactions In Citizen Science: Connecting People To Each Other And The Environment, Bret Allen Finley

Boise State University Theses and Dissertations

Citizen science leverages a distributed user-base which participates in crowd-sourced scientific inquiry. Geotagger is a citizen science project that allows people to collaboratively investigate the natural world around them and share their findings. Citizens are rarely compensated for their work and individual contributors can feel isolated which leads to motivation problems. This thesis focuses on engaging citizen scientists and motivating their contributions via social interaction and engagement. As a part of this work, a number of social enhancements have been developed as extensions to the existing Geotagger project. These enhancements and their effect on social engagement were evaluated using in-field …

Research-Based Stem Educator Professional Development Rubrics For The Selection Of High-Quality Professional Development: A Mixed Methods Study Of Teacher Perceptions And Outcomes, Angela Hemingway

Boise State University Theses and Dissertations

Idahoans failed to recognize approximately $240M in 2016 when over 3,800 STEM (science, technology, engineering, and math) jobs, with a median wage of $30 per hour, went unfilled. This further caused Idaho to lose $14M in state income tax receipts from these unclaimed positions (Idaho Department of Labor, 2016). To mitigate these economic losses, the Idaho STEM Action Center (STEM AC) was created to develop the STEM-skilled workforce that Idaho employers demand. High-quality, STEM-educator professional development (PD) is a critical component in ensuring students are equipped with the skills required to successfully thrive in the workforce and fill industry demands. …

Effects Of The Internal Magnetic Field On The Magneto-Mechanical Properties Of Magnetic Shape Memory Alloys, Anthony Hobza

Boise State University Theses and Dissertations

Shape memory alloys are a class of functional material which recover from large strains without permanent deformation. The strain is accommodated by the displacement of twin boundaries in the martensite phase. The shape memory alloy Ni-Mn-Ga is also ferromagnetic. Ni-Mn-Ga preferentially magnetizes along a certain crystallographic axis. This direction of easy magnetization changes across twin boundaries, such that the directions in neighboring twin domains are nearly perpendicular.

The interaction of magnetic moments and interfaces including the crystal surface and twin boundary interfaces has a large role in the magnetization process of the material. The goal of this study is to …

Variance: Secure Two-Party Protocol For Solving Yao's Millionaires' Problem In Bitcoin, Joshua Holmes

Boise State University Theses and Dissertations

Secure multiparty protocols are useful tools for parties wishing to jointly compute a function while keeping their input data secret. The millionaires’ problem is the first secure two-party computation problem, where the goal is to securely compare two private numbers without a trusted third-party. There have been several solutions to the problem, including Yao’s protocol [Yao, 1982] and Mix and Match [Jakobsson and Juels, 2000]. However, Yao’s Protocol is not secure in the malicious model and Mix and Match unnecessarily releases theoretically breakable encryptions of information about the data that is not needed for the comparison. In addition, neither protocol …

Effects Of Grouping On 4th Grade Mathematics Achievement, Brian Marinelli

Boise State University Theses and Dissertations

Questions involving the equitable distribution of mathematics instruction have been addressed since at least the early 1990’s. Since this time, little research has been conducted on the antecedents and effects of grouping elementary school students within homogenous mathematics groups. The purpose of this quantitative study was to compare the mathematics achievement of 4^th grade elementary school students who were grouped in either homogenous or heterogeneous mathematics classes. A causal-comparative design was utilized in an attempt to find relationships between the independent variables of mathematics grouping level, sex, and ethnicity and the dependent variable of mathematics achievement. Data were analyzed …

The Use Of Visual Arts In World Language Instruction To Increase Student Motivation And Attitude, Marilena Bevilacqua Martello

Boise State University Theses and Dissertations

Because of the complexity and changeability that characterize languages, language learners face a number of various factors in their quest to acquire a new language. Nevertheless, it is the level of motivation and personal attitude toward language learning that will determine their rate of success (Dörnyei & Csizér, 1998). The purpose of this study was to find out (1) whether there was a relationship between the use of visual art in world language instruction and student motivation, and (2) whether student writing skills improved when visual art was used for Content Based Instruction. The study used a mixed method research …

Optimizing Barrier Removal To Restore Connectivity In Utah’S Weber Basin, Maggi Kraft

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

River barriers, such as dams, culverts and diversions are important for water conveyance, but disrupt river ecosystems and hydrologic processes. River barrier removal is increasingly used to restore and improve river habitat and connectivity. Most past barrier removal projects prioritized individual barriers using score-and-rank techniques, neglecting the spatial structure and cumulative change from multiple barrier removals. Similarly, most water demand models satisfy human water uses or, only prioritize aquatic habitat, failing to include both human and environmental water use benefits. In this study, a dual objective optimization model identified in-stream barriers that impede quality-weighted aquatic habitat connectivity for Bonneville cutthroat …

Testing The Test: Expanding The Dialogue On Workplace Writing Assessment, Lindsay Elizabeth Tanner

Theses and Dissertations

This project is a case study of writing assessment practices in a particular workplace called "High Hits," a local search engine optimization (SEO) company. The writing tests given to new hires serve a parallel purpose to academic placement exams, in that they are a high-stress, high-risk situation that aims to evaluate writer ability rather than the quality of the completed task (Haswell 242, Elbow 83, Moss 110). However, while academic assessment measures ability with the aim to improve the students' learning, workplace assessment is driven by market forces and is seen in terms of return on investment. This case study …

Phased-Array Feed Instrumentation And Processing For Astronomical Detection, Interference Mitigation, And Transient Parameter Estimation, Richard Allen Black

Theses and Dissertations

Radio astronomy, the survey and study of naturally occurring astronomical radio signals, is a challenging field in terms of engineering requirements. The typical astronomical signal of interest is incredibly faint, resulting in very low signal-to-noise ratios (SNRs) on the order of -30 dB or lower. To detect such signals, one must have an uncommonly low and stable receiver noise temperature, high gain through large aperture reflectors, and state-of-the-art signal processing algorithms. One must also be able to mitigate the effects of interference, the presence of which, even if extremely weak, can completely mask the faint astronomical signals of interest. To …

Evaporated Aluminum Fluoride As A Barrier Layer To Retard Oxidation Of Aluminum Mirrors, Margaret Miles

Theses and Dissertations

The aluminum oxide growth rate for aluminum protected with 2.4 nm of aluminum fluoride has been determined. We show that a 2.4 nm aluminum fluoride layer does not prevent aluminum from oxidation but does significantly retard the oxide growth – decreasing the oxide layer thickness from 1 nm in less than an hour to 0.9 nm over 116 hours. Additionally, the optical constants for aluminum oxide growing under an aluminum fluoride barrier layer have been determined – showing an increase in absorption at high energies for Al₂O₃ forming at room temperature as compared to highly ordered Al …

Machine Learning To Discover And Optimize Materials, Conrad Waldhar Rosenbrock

Theses and Dissertations

For centuries, scientists have dreamed of creating materials by design. Rather than discovery by accident, bespoke materials could be tailored to fulfill specific technological needs. Quantum theory and computational methods are essentially equal to the task, and computational power is the new bottleneck. Machine learning has the potential to solve that problem by approximating material behavior at multiple length scales. A full end-to-end solution must allow us to approximate the quantum mechanics, microstructure and engineering tasks well enough to be predictive in the real world. In this dissertation, I present algorithms and methodology to address some of these problems at …

Using Dr. Scratch As A Formative Feedback Tool To Assess Computational Thinking, Samuel Frank Browning

Theses and Dissertations

Scratch is one of the most popular ways to teach younger children to code in K–8 throughout the U.S. and Europe. Despite its popularity, Scratch lacks a formative feedback tool to inform students and teachers of a student's progress in coding ability. Dr. Scratch was built to fill this need. This study seeks to answer if using Dr. Scratch as a formative feedback tool accelerates the students' progress in coding ability and Computational Thinking (CT). Forty-one 4th-6th grade students participated in a 1-hour/week Scratch workshop for nine weeks. We measured pre- and posttest results of the Computational Thinking Test (CTt) …

Copper Mineralogy In The Oxide Zone Of The Lone Star Porphyry Copper Deposit, Eastern Arizona, Jeff G. Selck

Theses and Dissertations

The Lone Star porphyry copper deposit in the Safford District of southeastern Arizona was discovered in the late 1800's but never mined on a large scale. In addition to typical copper oxide species such as chrysocolla, the upper part of the deposit has zones of mineralization in which the chemical assays of core samples have higher amounts of copper than can be visually assigned to the observed copper-bearing minerals. The goal of this study is to identify the Cu-bearing minerals, which is crucial because the efficiency of the extraction processes is strongly dependent upon the mineralogy. Samples from seven cores …

Multiple Target Tracking In Realistic Environments Using Recursive-Ransac In A Data Fusion Framework, Jeffrey Dyke Millard

Theses and Dissertations

Reliable track continuity is an important characteristic of multiple target tracking (MTT) algorithms. In the specific case of visually tracking multiple ground targets from an aerial platform, challenges arise due to realistic operating environments such as video compression artifacts, unmodeled camera vibration, and general imperfections in the target detection algorithm. Some popular visual detection techniques include Kanade-Lucas-Tomasi (KLT)-based motion detection, difference imaging, and object feature matching. Each of these algorithmic detectors has fundamental limitations in regard to providing consistent measurements. In this thesis we present a scalable detection framework that simultaneously leverages multiple measurement sources. We present the recursive random …

Reliability Of Feqdrain For Modeling Performance Of Sand Treated With Large-Diameter Prefabricated Drains For Liquefaction Mitigation, Travis Hatch Meservy

Theses and Dissertations

Finite element modeling of laminar shear box testing that consisted of loose sand treated with large diameter prefabricated vertical drains (PVDs), was performed. The objective of the modeling was to evaluate the reliability of the computer program FEQDrain for predicting excess pore pressure ratios (Ru) at sites treated with prefabricated drains. FEQDrain was found to be capable of successfully modeling measured excess pore pressure ratio time histories from the laminar shear box experiment, as long as an appropriate combination of €˜number of equivalent cycles and €˜shaking duration was chosen, and sensitive parameters were in the range of measured values. Hydraulic …

The Effects Of Exhaust Vent Location On Thermal Comfort Inside The Residential Buildings Equipped With An Evaporative Cooling System, Armin Saraei

UNLV Theses, Dissertations, Professional Papers, and Capstones

Inlet and outlet conditions, Including size and location, have significant effects on the air distribution, temperature, humidity and thermal comfort in the buildings. In the current study, various strategies are presented for exhaust air vents and the effects of inlet and outlet vents locations are evaluated on providing thermal comfort in the residential and industrial buildings. To provide thermal comfort, three key factors need to be investigated based on ASHRAE standard 55- 2013 as follows: Comfort Zone, Thermal Sensation and Draft Rate. Flow distribution is studied as well in order to investigate the strategies, which make more vorticity in the …

An Evaluation Of Full-Day Kindergarten Programming, Amy Houlihan

Dissertations

The purpose of this program evaluation document is to provide a rationale and structure for implementing full-day kindergarten. The persistence of the achievement gap in the United States requires considerable and deliberate action to narrow and eliminate the gap over time. With the evolving educational landscape and the adoption of the Common Core State Standards, early education, including systematically designed and implemented full-day kindergarten are one way to afford children the opportunity to begin their education on pace to succeed. This program evaluation examines the differences between half-day kindergarten and full-day kindergarten programs including data analysis from the first year …

Utilizing Formative Assessments To Inform Teacher Instruction And Student Engagement, Kim Ontiveros

Dissertations

ABSTRACT

The purpose of this program evaluation was to gain a clear understanding of how formative assessments impact teacher instruction and engage students. I used a survey with the teachers and data taken from their math formative assessments and NWEA MAP testing results on the mathematical concepts such as: Operations and Alegebraic Thinking, Numbers and Operations, Measurement and Data and Geometry. There were gaps identified with the formative assessments, teacher reflection with instruction and the absence of student engagement throughout the process. I found that teachers were not always using formative assessments to reteach concepts or adapt their instruction. Additionally, …

An Evaluation Of Avid As A Supplemental Education Program At The Middle School Level, Lori Bradner

Dissertations

This is a study of AVID as a supplemental education program at the middle school level that includes a quantitative evaluation of the academic efficacy of AVID utilizing anonymized, longitudinal student achievement data. The second section is a qualitative evaluation of the AVID program at one middle school within a district to determine the perceived efficacy of the AVID program among stakeholders using surveys and interviews. This also includes a discussion of the necessary change in leadership determined by the evaluation portions of this project. The third portion outlines a policy change essential for satisfactory outcome as defined by AVID …

High Volume Test Automation With Yeager, Casey Doran

Theses and Dissertations

High Volume Automated Testing is a powerful family of software testing techniques which enable a variety of testing goals, including the discovery of hard-to-reproduce bugs, which can enable new levels of quality assurance when applied correctly. This thesis presents a software tool, Yeager, which may be used in conjunction with existing test code to execute tests similar to Long Sequence Regression Tests based on an inferred state-model of the system under test as provided by tester annotations of state transitions caused by individual test code snippets. The usefulness of the package is evaluated through the development and deployment of a …

Investigating The Influence Of Functional And Nonfunctional Requirements On Change And Change Propagation, Nathaniel Conde Voris

Theses and Dissertations

The research presented in this thesis investigates the nature of change and change propagation in requirement documents as they are influenced by requirement type, that is, “Functional” or “NonFunctional,” and how an understanding of these types may refine utilization of the Automated Requirement Change Propagation Prediction (ARCPP) tool when used by design teams. Functionality is determined by asking the question “Does the requirement prescribe something for the project to accomplish?” This question separates the requirements into their requisite types. Using the ARCPP, the relationship and propagation scores were determined for each requirement. Furthermore, the number of relationships were determined for …

Decision Support For Shared Responsibility Of Cloud Security Metrics, Moteeb Aieed Al Moteri

Theses and Dissertations

With the rapid growth of cloud computing and the increasing importance of measuring the security of cloud systems, more attention has been focused on the need for security metrics that are specific to cloud computing. The use of metrics in cloud computing enables improved service selection, service agreement, and service verification. This dissertation presents a taxonomy of cloud security metrics and guideline and a framework for allocating cloud security metrics shared responsibility. The taxonomy considers several novel viewpoints. Metrics are organized by cloud capability type (Application, Platform, Infrastructure) along with the type of cloud deployment (public, private, hybrid, community), and …

Ethics And Bias In Machine Learning: A Technical Study Of What Makes Us “Good”, Ashley Nicole Shadowen

Student Theses

The topic of machine ethics is growing in recognition and energy, but bias in machine learning algorithms outpaces it to date. Bias is a complicated term with good and bad connotations in the field of algorithmic prediction making. Especially in circumstances with legal and ethical consequences, we must study the results of these machines to ensure fairness. This paper attempts to address ethics at the algorithmic level of autonomous machines. There is no one solution to solving machine bias, it depends on the context of the given system and the most reasonable way to avoid biased decisions while maintaining the …

Study Of Self-Similarity In Brain Data, Jennifer Holst

Student Theses

In the area of computer science, past research has found that the concept of self-similarity is present in local and Internet-based network traffic. This study considers the possibility that data traveling through the neuronal network in the human brain is also self-similar. By analyzing publicly available raw EEG data and estimating its Hurst parameter, we find indications that brain data traffic may in fact be self-similar.

Combined Effects Of Dissolved Oxygen And Temperature On Aerobic Respiration And Respiratory Recovery Responses Of The Spioniform Polychaete, Streblospio Gynobranchiata, In Relation To Body Size, Alyssa Bennett

Master's Theses

Elevated surface temperatures exacerbate the threat of hypoxia within coastal ecosystems. These two primary stressors likely interact as they elicit opposing physiological responses from marine organisms. Metabolic depression is typically associated with hypoxia, while metabolic rates increase with temperature. Moreover, physiological effects of combined stressors may not be additive. In light of increasing pressures from hypoxia, elevated ocean temperatures, and other stressors within coastal regions, studies need to examine effects of multiple stressors on physiology of coastal organisms.

Mass-specific aerobic respiration (V_O2) was characterized as a proxy for metabolic cost of Streblospio gynobranchiata, at combined levels of …

Enterprise Social Media Use And Impact On Performance: The Role Of Workplace Integration And Positive Emotions, Murad Moqbel, Fiona Fui-Hoon Nah

Information Systems Faculty Publications

Organizations struggle to find ways to improve employees’ performance. To date, little research has empirically examined the relationship between enterprise social media use and knowledge workers’ performance. Using social capital theory and the broaden-and-build theory of positive emotions as our theoretical framework, we investigate the relationship between enterprise social media use and knowledge workers’ performance. We tested our research model by collecting data from employees working for a large information technology firm in the Midwestern United States and analyzing the data using a structural equation modeling approach. The results suggest that enterprise social media use can increase workplace integration, which …

Faith And Reason In The Pursuit Of Understanding, Emily Jarvis

Jesuit Higher Education: A Journal

No abstract provided.

Genetic Optimisations For Satisfiability And Ramsey Theory, Andrew Barnes

The Plymouth Student Scientist

The art of using evolutionary mechanisms for identifying satisfiability has produced a range of efficient solutions to this otherwise computationally challenging problem. Since their first use these evolutionary methods have been changed and adapted to produce increasingly efficient solutions. This paper introduces two unique alternatives to the optimisation of these methods, the first through the introduction of alternative mutation operators and the second through utilizing a grammatical encoding which has been proven to improve neuroevolution. The goal of this paper is to identify whether these two alternatives are candidates for future investigation in improving evolutionary satisfiability solvers.

A Machine Learning Approach To The Classification Of Phishing Bot Accounts Within Twitter, Christopher James Brake

The Plymouth Student Scientist

Social network bots are becoming an ever-greater threat to online users. Most studies carried out have looked at bots which generate a lot of tweets known as spam, as these are very common. In recent years research into the area of bots within Twitter has been carried out using machine learning to attempt to find patterns in these ac-counts to aide with detection. However, limited research has been carried out that focuses on a sub set of Twitter bots which are involved in phishing campaigns which tweet very little to avoid detection. In this project an application was developed that …