Digital Commons Network^™

Tutorial For Using The Center For High Performance Computing At The University Of Utah And An Example Using Random Forest, Stephen Barton

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Random Forests are very memory intensive machine learning algorithms and most computers would fail at building models from datasets with millions of observations. Using the Center for High Performance Computing (CHPC) at the University of Utah and an airline on-time arrival dataset with 7 million observations from the U.S. Department of Transportation Bureau of Transportation Statistics we built 316 models by adjusting the depth of the trees and randomness of each forest and compared the accuracy and time each took. Using this dataset we discovered that substantial restrictions to the size of trees, observations allowed for each tree, and variables …

The Development Of An Automated Testing Framework For Data-Driven Testing Utilizing The Uml Testing Profile, James Edward Hearn

Masters Theses & Doctoral Dissertations

The development of increasingly-complex Web 2.0 applications, along with a rise in end-user expectations, have not only made the testing and quality assurance processes of web application development an increasingly-important part of the SDLC, but have also made these processes more complex and resource-intensive. One way to effectively test these applications is by implementing an automated testing solution along with manual testing, as automation solutions have been shown to increase the total amount of testing that can be performed, and help testing team achieve consistency in their testing efforts. The difficulty, though, lies in how to best go about developing …

Persona Non Grata: The Marginalization Of Legal Scholarship In Criminology And Criminal Justice Journals, Brenda I. Rowe, Wesley S. Mccann, Craig Hemmens

Criminology and Criminal Justice Faculty Publications (Archived)

Recently, concern has been voiced within the academy regarding the marginalization of legal scholarship within the criminology and criminal justice (CCJ) discipline. Although conventional wisdom and anecdotal evidence indicate that it is difficult to get legal scholarship published in CCJ journals, there is a dearth of empirical evidence on the representation of legal scholarship in CCJ journals. The present study assesses the representation of legal scholarship in 20 CCJ journals from 2005 through 2015, examining both trends over time and variation across journals. Findings indicate legal scholarship comprises a very small portion of articles published, there has been a steep …

The Weapon Focus Effect: Testing An Extension Of The Unusualness Hypothesis, Curt A. Carlson, William E. Pleasant, Dawn R. Weatherford, Maria A. Carlson, Jane E. Bednarz E. Bednarz

Psychology Faculty Publications (Archived)

The weapon focus effect (WFE) occurs when a weapon distracts eyewitnesses, harming memory for the perpetrator and other details. One explanation is that weapons are unusual in most contexts, and unusual objects distract eyewitnesses. We extended this unusualness hypothesis to include typical objects used in a distinctive manner, as criminals often make use of a typical object as a weapon (e.g., tire iron, beer bottle). Undergraduates (N = 963) viewed a video depicting a man with a handgun, distinctive object, typical object and action, or typical object used as a weapon. Only the handgun reduced eyewitness identification accuracy relative to …

Options Pricing Through Computational Methods, Robert Petty

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The purpose of this paper is to show the practical application of computational methods to price options. Emphasis is especially given to the use of the Longstaff-Schwartz method for pricing American and exotic options. An implementation of these pricing methods in a computer program are demonstrated. The advantages of using object-oriented programming design patterns to make pricing programs more flexible and useful is also discussed.

Assessment Of The Impact Of Reading Mastery Implementation On A Group Of First To Third Grade Students Receiving Special Education Services, Christopher Martin Jones

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Reading Mastery was instituted with a group of first to third grade students receiving special education services as a supplemental reading intervention to regular education reading instruction. The students were enrolled in a kindergarten through eighth grade rural, Title I school with a high Native American population. Student performance was assessed with the easyCBM reading measure and the Fountas and Pinnell Benchmark Assessment System (Field Study, 2016).

Results showed that students who received the Reading Mastery intervention performed with mixed results on the easyCBM measure not making clear gains in all areas. The Fountas and Pinnell measure showed gains commensurate …

Survey Of Likely Louisiana Voters For 2016 Senate Runoff, Edward Chervenak, Survey Research Center, University Of New Orleans

Survey Research Center Publications

The University of New Orleans’ Survey Research Center (SRC) sponsored an automated interactive voice response (IVR) telephone survey of 776 active registered voters in Louisiana on Tuesday, December 6, 2016. We asked likely voters who they preferred in the 2016 Senate runoff election and whether they thought Obamacare should be repealed. The poll shows that the Republican candidate John Kennedy has a comfortable lead over his Democratic challenger, Foster Campbell. We asked respondents whether they believed Obamacare should be repealed. Likely Louisiana voters back the idea of repealing the healthcare law by a two-to-one margin.

Design And Development Of A Physiological Stress Monitoring/Alert System Using A Wristband, Ritesh Varma Pathapati Thyagaraju

Theses and Dissertations

The design and development of wearable physiological systems for stress monitoring have gathered a lot of attention during the past few years. These systems have undergone much-needed development to tackle long-term effects such as a headache, depression, insomnia, high blood pressure, confusion, inability to make correct choices, etc. Accurately measuring physiological signals that are helpful to detect stress in its early stages using wearable technology have long been a goal in the healthcare industry. Current commercial products such as Fitbit and Empatica only monitor either the heart rate (Fitbit) or electrodermal activity in real time (Empatica) but these devices have …

Soteria: A Persuasive Esecurity Assistant, Punica Bhardwaj

Theses and Dissertations

“…security is only as good as the weakest link, and people are the weakest link in the chain.” – B Schneier, 2002 Humans are often referred to as the “weakest link” in the security chain because of the poor security decisions taken by them. There can be many reasons for these decisions, such as lack of understandability of the software, lack of education, and lack of relevant information required to do that particular action. In this Thesis, we focus on the lack of relevant information required at the time of performing the action. In order to provide the user with …

Montana Dragon Boat Festival 2016, Megan Schultz

Institute for Tourism and Recreation Research Publications

This study was conducted for the Kalispell Conventions and Visitor Bureau, to provide insight into the characteristics of attendees of the 2016 Montana Dragon Boat Festival. Paper surveys on site and a post-event web survey were completed by 479 attendees and/or participants of the event. Results show that 58% of respondents were residents of Montana and of those Montana residents, 69% were from Flathead County. Out-of-county respondents spent an average of 3.72 nights away from home. Of those nights, an average of 2.42 of those nights were in the city of Kalispell and 2.89 nights in other Flathead Valley locations …

Consumer Likelihood To Complain In The U.S. Commercial Airline Industry, Xinpei Lu

Theses and Dissertations

Consumer emotions play an important role in the marketplace nowadays, which can either directly or indirectly affect the marketing outcomes. Consumer complaints are believed to occur if consumers begin to generate negative emotions due to an unfavorable service experience. However, there are also existing controversies. Moreover, males and females tended to show different attitudes towards complaining in different situations. There is a great significance of doing the research of consumer complaints in commercial airline industry because a majority of the predominant research concentrates on the consumer complaint behaviors in market places such as restaurant, hospital, hotel, and shopping mall. The …

An Examination Of The 16pf Validity Scales As Predictors Of The Scale Of Accurate Personality Prediction (Sapp), Katherine E. Schmieder

Theses and Dissertations

The Scale of Accurate Personality Prediction (SAPP) was derived from the 16 Personality Factor Questionnaire (16-PF) as a measure of self-knowledge by comparing the degree of similarity of a participant’s predicted and obtained 16 PF results. The purpose of this study was to examine the utilization of the16PF validity scales as potential predictors of an individual’s score on the Scale of Accurate Personality Prediction (SAPP). A series of multiple regression analyses were performed on the current database of 641 respondents. Additionally, to provide additional validity, the database was split into two halves, and the multiple regression analyses were run on …

Correlates Of The Minnesota Multiphasic Personality Inventory-2 Restructured Form (Mmpi-2-Rf) Scores For Asian Indian College Students, Saloni Taneja

Theses and Dissertations

This study was designed to investigate empirical correlates of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) for Asian Indian college students using the NEO Five Factor Inventory-3, College Maladjustment Scales and Measures of Psychosocial Development. The study utilized an Asian Indian college student sample (N=48) from a private university in Florida. Pearson Product Moment correlations were computed to establish correlates of the MMPI-2-RF scale scores. Overall, a large number of significant correlates with large effect sizes were found across the three measures. Some correlates found in the study provided an expansion for the interpretation of the MMPI-2-RF scales for Asian …

The Kinematics And X-Ray Emission Mechanism Of The Large-Scale Jet Of 3c 111, Devon Clautice

Theses and Dissertations

Relativistic jets are the most energetic manifestation of the active galactic nucleus (AGN) phenomenon. AGN jets are observed from the radio through gamma rays and carry copious amounts of matter and energy from the sub-parsec central regions out to the kiloparsec and often megaparsec scale galaxy and cluster environs. While most spatially-resolved jets are seen in the radio, an increasing number have been discovered to emit in the optical/near-IR and/or X-ray bands. Here we discuss a spectacular example of this class, the 3C 111 jet, housed in one of the nearest, double-lobed FR II radio galaxies known. We discuss new, …

Specialized Distributed Hardware Design For Real-Time Atmospheric Turbulence Mitigation Error Correction Calculation, Subhadra Subramanian

Theses and Dissertations

This thesis demonstrates an approach to solve execution challenges of Image processing of an Atmospheric turbulence mitigation technique in real-time. An atmospheric turbulence mitigation technique is used to eliminate the aberrations caused by turbulence in the images. The error calculation is a mathematically intensive process, that includes Fast Fourier Transform (FFT) to convert the image from the spatial domain to the spatial frequency domain. The FPGA based hardware accelerator design and architectures are investigated in this work to perform Fast Fourier Transform and error calculations in real-time, defined as 30Hz. A scalable and parallel platform is designed to execute the …

Feature Based Object Tracking: A Probabilistic Approach, Kaleb Smith

Theses and Dissertations

Video analysis is a rich research topic, due to the wide spectrum of applications such as surveillance, activity recognition, security, and event detection. One of the important challenges in video analysis is object tracking, which provides the ability to determine the exact location of an object of interest within each frame. Many challenges affect the efficiency of a tracking algorithm such as scene illumination change, occlusion, scaling change and determining a search window from which to track object(s). We present an integrated probabilistic model for object track- ing, that combines implicit dynamic shape representations and probabilistic object modeling. We demonstrate …

A Self-Organized Approach For Detecting Communities In Networks, Ben Collingsworth

Theses and Dissertations

The community structure of networks reveals hidden information about the whole network structure that cannot be discerned using other topological properties. Yet, the importance of identifying community structure in networks to many fields such as medicine, social sciences and national security, calls for better approaches for performing this identification. The prevalent community detection algorithms, such as the one proposed by Girvan and Newman, utilize a centralized approach that is unlikely to scale to very large networks and does not handle dynamic networks. Further, existing algorithms provide limited information regarding community overlap, where an individual participates in multiple communities. We propose …

Proactive Approach For The Prevention Of Ddos Attacks In Cloud Computing Environments, Brad Alshehry

Theses and Dissertations

Contemporary security systems attempt to provide protection against distributed denial-of-service (DDoS) attacks; however, they mostly use a variety of computing and hardware resources for load distribution and request delays. As a result, ordinary users and website visitors experience timeouts, captchas, and lowspeed connections. In this paper, we propose a new multilayer system for protection against DDoS in the cloud that utilizes Threat Intelligence techniques and a proactive approach to detect traffic behavior anomalies. The first layer of the model analyzes the source IP address in the header of incoming traffic packets and the second layer analyzes the speed of requests …

Numerical Study Of Erosion Of The Internal Wall Of Sales Gas Piping By Black Powder Particles, Ahmed Saud Al-Haidari

Theses and Dissertations

Micro particles, primarily from iron, can wreak havoc on a Sales Gas System. For example, the transport of particles with the gas flow can cause erosion damage to the piping system, lead to the release of toxic gasses, and interrupt the operation. The objective of the current work is to examine the erosion rate (ER) in an existing Sales Gas Piping System by simulating different black powder particles sizes and considering variable operation conditions. An elbow-shaped pipe spool is used to determine the area of maximum destruction. It will help the designer, engineer and operation personnel to predict the ER …

Weighted Distance Based Discriminant Analysis: The R Package Wedibadis, Itziar Irigoien, Francesc Mestres, Concepcion Arenas

The R Journal

The WeDiBaDis package provides a user friendly environment to perform discriminant analysis (supervised classification). WeDiBaDis is an easy to use package addressed to the biological and medical communities, and in general, to researchers interested in applied studies. It can be suitable when the user is interested in the problem of constructing a discriminant rule on the basis of distances between a relatively small number of instances or units of known unbalanced-class membership measured on many (possibly thousands) features of any type. This is a current situation when analyzing genetic biomedical data. This discriminant rule can then be used both, as …

Escape From Boxland, Barret Schloerke, Hadley Wickham, Dianne Cook, Heike Hofmann

The R Journal

A library of common geometric shapes can be used to train our brains for understanding data structure in high-dimensional Euclidean space. This article describes the methods for producing cubes, spheres, simplexes, and tori in multiple dimensions. It also describes new ways to define and generate high-dimensional tori. The algorithms are described, critical code chunks are given, and a large collection of generated data are provided. These are available in the R package geozoo, and selected movies and images, are available on the GeoZoo web site (http://schloerke.github.io/geozoo/)

An Introduction To Principal Surrogate Evaluation With The Pseval Package, Michael C. Sachs, Erin E. Gabriel

The R Journal

We describe a new package called pseval that implements the core methods for the evaluation of principal surrogates in a single clinical trial. It provides a flexible interface for defining models for the risk given treatment and the surrogate, the models for integration over the missing counterfactual surrogate responses, and the estimation methods. Estimated maximum likelihood and pseudo-score can be used for estimation, and the bootstrap for inference. A variety of post-estimation methods are provided, including print, summary, plot, and testing. We summarize the main statistical methods that are implemented in the package and illustrate its use from the perspective …

Variants Of Simple Correspondence Analysis, Rosaria Lombardo, Eric J. Beh

The R Journal

This paper presents the R package CAvariants (Lombardo and Beh, 2017). The package performs six variants of correspondence analysis on a two-way contingency table. The main function that shares the same name as the package– CAvariants– allows the user to choose (via a series of input parameters) from six different correspondence analysis procedures. These include the classical approach to (symmetrical) correspondence analysis, singly ordered correspondence analysis, doubly ordered correspondence analysis, non symmetrical correspondence analysis, singly ordered non symmetrical correspondence analysis and doubly ordered non symmetrical correspondence analysis. The code provides the flexibility for constructing either a classical correspondence plot or …

Design Of The Tronco Bioconductor Package For Translational Oncology, Marco Antoniotti, Giulio Caravagna, Luca De Sano, Alex Graudenzi, Giancarlo Mauri, Bud Mishra, Daniele Ramazzotti

The R Journal

Models of cancer progression provide insights on the order of accumulation of genetic alterations during cancer development. Algorithms to infer such models from the currently available mutational profiles collected from different cancer patients (cross-sectional data) have been defined in the literature since late the 90s. These algorithms differ in the way they extract a graphical model of the events modelling the progression, e.g., somatic mutations or copy-number alterations.

TRONCO is an R package for TRanslational ONcology which provides a series of functions to assist the user in the analysis of cross-sectional genomic data and, in particular, it implements …

What We Know: Planning, Implementing, And Assessing A Media Literacy Themed Summer Camp, Philina Richardson, Nancy Garmer, Erin Mahaney, Lisa Petrillo, Rebecca Weber

Evans Library Publications

Information and media literacy are essential for today’s children and teens as they navigate an increasingly saturated information environment. Educators at all levels must seek to communicate and teach the skills that students need to evaluate, understand, and use information in engaging and innovative ways. This paper highlights such an effort by librarians and staff at Florida Institute of Technology in the planning and implementation of a camp called “What We Know: Understanding Media and Its Influence.” The camp was administered by five library staff and attended by ten teens between the ages of 12 and 16. Throughout the camp, …

The Gratitude Questionnaire And Mindful Attention Awareness Scale For Use With Latina/O College Students: A Confirmatory Factor Analysis, Dion B. Smith

Theses and Dissertations

Interventions based on positive psychology constructs have become increasingly popular over the past two decades, necessitating validation of instruments for use with underrepresented populations (Pawelski, 2016; Vela, Lerma, & Ikonomopoulos, 2016). This study reports an evaluation of the Mindful Attention Awareness Scale (MAAS; Brown & Ryan, 2003) and the Gratitude Questionnaire (GQ-6; McCullough, Emmons, & Tsang, 2002) for use with Latina/o college students. Sample sizes used in this study are N = 207 (99 women and 104 men; 4 did not identify) for the MAAS and N = 127 (84 women and 38 men; 5 did not identify) for the …

The Effect Of Frequency Resolution On Intelligibility Sentence And Its Relevance To Cochlear Implant Design, Seth H. Roy

School of Computing: Dissertations, Theses, and Student Research

The purpose of this study is to understand how electrical stimulation (as opposed to acoustical stimulation) of the auditory nerve is used in cochlear implants. Speech is a complex signal that changes rapidly in time and frequency domains. Since phonemes (the smallest unit of speech that distinguishes words) depend on nuanced differences in frequency patterns, it would be expected that a signal with drastically reduced frequency information would be of limited value for conveying speech. Such a frequency-poor signal is the object to be investigated in the present work. It is also the basis of the way speech is represented …

Finding Dna Motifs: A Probabilistic Suffix Tree Approach, Abhishek Majumdar

School of Computing: Dissertations, Theses, and Student Research

We address the problem of de novo motif identification. That is, given a set of DNA sequences we try to identify motifs in the dataset without having any prior knowledge about existence of any motifs in the dataset. We propose a method based on Probabilistic Suffix Trees (PSTs) to identify fixed-length motifs from a given set of DNA sequences. Our experiments reveal that our approach successfully discovers true motifs. We compared our method with the popular MEME algorithm, and observed that it detects a larger number of correct and statistically significant motifs than MEME. Our method is highly efficient as …

Towards Building A Review Recommendation System That Trains Novices By Leveraging The Actions Of Experts, Shilpa Khanal

School of Computing: Dissertations, Theses, and Student Research

Online reviews increase consumer visits, increase the time spent on the website, and create a sense of community among the frequent shoppers. Because of the importance of online reviews, online retailers such as Amazon.com and eOpinions provide detailed guidelines for writing reviews. However, though these guidelines provide instructions on how to write reviews, reviewers are not provided instructions for writing product-specific reviews. As a result, poorly-written reviews are abound and a customer may need to scroll through a large number of reviews, which could be up to 6000 pixels down from the top of the page, in order to find …

A Further Analysis Of Commission Errors During Discrete Trial Training, Tavy Alisa Matthews

Theses and Dissertations

Treatment integrity has been manipulated in various ways to evaluate its impact on intervention effectiveness. Studies have compared different types of integrity failures and levels of treatment integrity in various contexts and behavioral interventions. Evaluations include differential reinforcement of alternative behavior, child compliance, and discrete trial training. However, further research is needed to establish the point at which integrity becomes detrimental to intervention effectiveness. The purpose of this study was to conduct a parametric analysis (i.e., 100%, 75%, 50%, & 25%) of treatment integrity to examine the effects of commission errors during discrete trial training. Three participants, ages 35 - …