Physical Sciences and Mathematics Commons^™

A Description Of A Humans Knowledge Using Artificial Intelligence, Dj Price

Mahurin Honors College Capstone Experience/Thesis Projects

There currently does not exist a way to easily view the relationships between a collection of written items (e.g. sports articles, diary entries, research papers). In recent years, novel machine learning methods have been developed which are very good at extracting semantic relationships from large numbers of documents. One of them is the (unsupervised) machine learning model Doc2Vec which constructs vectors for documents. The research project detailed in this paper uses this and other already existing algorithms to analyze the relationship between pieces of text. We set forth a broader ambition for this project before discussing the use and need …

Bridging The Food Gap: Founding And Sustaining A Food Recovery Network Chapter At Wku, Elaine Losekamp

Mahurin Honors College Capstone Experience/Thesis Projects

Food waste is a pervasive global issue with many environmental and social repercussions. While about one-third of all food produced for human consumption goes to waste, many people in the United States and the world are affected by food insecurity. Food recovery, the process of rescuing edible food that would otherwise go to waste and delivering to hungry people, is an effective solution for both food waste and food insecurity. The author of this capstone created a food recovery program at Western Kentucky University (WKU) in January 2019 and has grown the program’s scope and impact since that time. This …

The Economic Determinants Of American Professional Sports Franchise Valuations, Ryan Flora

Mahurin Honors College Capstone Experience/Thesis Projects

This thesis seeks to analyze the impact of regional identities on American professional sports team valuations. Regional identities are classified as any name of a team that is not tied directly to the city that they reside in. For example, the Carolina Panthers have a regional identity because they are not based out of “Carolina”, they are based out of Charlotte, North Carolina. Another example would be the Arizona Cardinals, whose name encompasses the whole state of Arizona rather than Phoenix, the city they are based out of. The leagues that will be involved in this study are the National …

The Effect Of Size Upon Haptic Shape Discrimination, Jessica Dukes

Mahurin Honors College Capstone Experience/Thesis Projects

Object shape perception is fundamentally important for daily life. It has been suggested (e.g., Gibson, 1962) that the visual and haptic modalities are equivalent with regards to the ability to perceive shape. Norman et al. (2012) showed that visual and haptic shape discrimination accuracies are indeed comparable. Craddock and Lawson (2009) found that haptic shape discrimination performance was adversely affected by a size change. However, this result was obtained for man-made objects (i.e., bathtubs and benches). The purpose of the current investigation was to determine whether size changes also reduce haptic shape discrimination accuracy for naturally-shaped objects. On any given …

Determining Atmospheric Boundary Layer Behavior Over Mountainous Terrain Using Aircraft Vertical Profiles From 2009-2018 Nasa Student Airborne Research Program Data, Dallas Mckinney

Mahurin Honors College Capstone Experience/Thesis Projects

The atmospheric boundary layer (ABL) height separates turbulently mixed air and pollutants emitted at the ground from the free troposphere above and is an important parameter in numerical weather prediction and air pollution dispersion models. Discerning the ABL height over mountainous terrain has historically been difficult because of, for example, complex interactions with upper level winds, venting of humidity and aerosols into the free troposphere, and large spatiotemporal variability. ABL over mountainous terrain (MT) can closely follow the terrain, be flat, or be shallower than surrounding valleys depending on the time of day, synoptic conditions, and effects of the surrounding …

An Analysis Of The Success Of Farmers Markets In Kentucky Using Logistic Regression And Support Vector Machines, Jeron Russell

Mahurin Honors College Capstone Experience/Thesis Projects

The purpose of this research is to look at the relationship that market-specific, economic, and demographic variables have with the success of farmers markets in Kentucky. It additionally seeks to build a tool for predicting farmers market success that could be used by policy makers to aid in decision-making processes concerning farmers markets. Logistic regression and Support Vector Machines (SVMs) are used on data acquired from the Kentucky Department of Agriculture and the American Community Survey in order to analyze the data in a traditional statistical approach as well as a machine learning approach. The results included an SVM model …

First Past The Poll: A Blog About Political Statistics, Bradley Wascher

Mahurin Honors College Capstone Experience/Thesis Projects

This Capstone Experience project details my efforts to become a political data journalist. I took the first major step in August 2018, starting First Past the Poll, my politics blog. For three semesters, this website was frequently updated with nonpartisan reports on the latest elections, deep dives on long-term polling trends, and commentary on political numbers more broadly. Hoping to buck the trend of the stodgy prose prevalent throughout politics, my stories combined academic rigor with accessible writing.

As I began to find my footing in the field, First Past the Poll put me in the position to become …