Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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The U.S. Navy and other amphibious military organizations utilize a derivation of the traditional side stroke called the Combat Side Stroke, or CSS, and tout it as the most efficient technique available. Citing its low aerobic requirements and slow yet powerful movements as superior to the traditionally-best front crawl (freestyle),

The U.S. Navy and other amphibious military organizations utilize a derivation of the traditional side stroke called the Combat Side Stroke, or CSS, and tout it as the most efficient technique available. Citing its low aerobic requirements and slow yet powerful movements as superior to the traditionally-best front crawl (freestyle), the CSS is the go-to stroke for any operation in the water. The purpose of this thesis is to apply principles of Industrial Engineering to a real-world situation not typically approached from a perspective of optimization. I will analyze pre-existing data about various swim strokes in order to compare them in terms of efficiency for different variables. These variables include calories burned, speed, and strokes per unit distance, as well as their interactions. Calories will be measured by heart rate monitors, converting BPM to calories burned. Speed will be measured by stopwatch and observer. Strokes per unit distance will be measured by observer. The strokes to be analyzed include the breast stroke, crawl stroke, butterfly, and combat side stroke. The goal is to informally test the U.S. Navy's claim that the combat side stroke is the optimum stroke to conserve energy while covering distance. Because of limitations in the scope of the project, analysis will be done using data collected from literary sources rather than through experimentation. This thesis will include a design of experiment to test the findings here in practical study. The main method of analysis will be linear programming, followed by hypothesis testing, culminating in a design of experiment for future progress on this topic.

ContributorsGoodsell, Kevin Lewis (Author) / McCarville, Daniel R. (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2014-12
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Description
The Arizona Department of Environmental Quality (ADEQ) experienced a problem with the quality of their services. The agency was expending a large amount of resources, both time and money to control contractors' work with unexpected poor quality work. ADEQ partnered with Dr. Dean Kashiwagi and the Performance Based Studies Research

The Arizona Department of Environmental Quality (ADEQ) experienced a problem with the quality of their services. The agency was expending a large amount of resources, both time and money to control contractors' work with unexpected poor quality work. ADEQ partnered with Dr. Dean Kashiwagi and the Performance Based Studies Research Group (PBSRG) early in 2014 to find a solution to the procurement problems. PBSRG introduced the Performance Information Procurement System (PIPS) and began implementation on four test projects. Three of the projects have moved into the execution phase delivering almost $100K savings in the procurement process alone. The three main causes of the issues were: lack of a system identifying the quality of vendors, management, direction, and control (MDC), and lack of a system to track vendor performance. Best value PIPS is a paradigm shift from the traditional price-based model and has succeeded in mitigating these challenges for the industry, while also validating the PBSRG model.
ContributorsFink, Fabian Josef (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2014-12
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Description
The crew planning problem in the airline industry presents a very computationally complex problem of high importance to the business. Airlines must schedule crew members to ensure that all flights are staffed while remaining in compliance with the business needs and regulatory requirements set by entities such as unions and

The crew planning problem in the airline industry presents a very computationally complex problem of high importance to the business. Airlines must schedule crew members to ensure that all flights are staffed while remaining in compliance with the business needs and regulatory requirements set by entities such as unions and FAA. With the magnitude of operation of the prominent players in the airline industry today, the crew staffing problem proves very large and has become heavily reliant on operations research solution methodologies. An area of opportunity that has not yet been extensively researched lies in the planning of crew vacation. This paper develops a model driven by the idea of system risk that constructs an optimal vacation grid for the time period of one year. The model generates a daily allocation that maximizes vacation offering while ensuring a given level of system reliability. The model is then implemented using data from US Airways and model improvements are provided for practical application in the airline industry based on the output.
ContributorsFisher, Tignes Noel (Author) / Gel, Esma (Thesis director) / Jacobs, Tim (Committee member) / Clough, Michael (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor)
Created2015-05
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Description
The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques

The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques to align natural language sentences to the linearized parses of their associated knowledge representations in order to learn the meanings of individual words. The work includes proposing and analyzing an approach that can be used to learn some of the initial lexicon.
ContributorsBaldwin, Amy Lynn (Author) / Baral, Chitta (Thesis director) / Vo, Nguyen (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
This research covers the relationship between popular electronic dance music (EDM) and the seasons and climate. The precedence and relevance of the research is outlined through prior research initiatives by Karen Aplin and Paul Williams on the effect of weather on classical music. The hypothesis is that the climate will

This research covers the relationship between popular electronic dance music (EDM) and the seasons and climate. The precedence and relevance of the research is outlined through prior research initiatives by Karen Aplin and Paul Williams on the effect of weather on classical music. The hypothesis is that the climate will affect how music by artists residing within the climate and the seasons will affect the popularity of certain genres. Warmer climates will produce songs that are more upbeat and energetic while colder climates will result in songs that are more complex and heavy. The analysis of this hypothesis will be performed in two parts. The first will be a data driven analysis from Beatport.com's Top 100 EDM charts to observe the season's impact on genre popularity. The second will be a case study analysis of a number of artists from around the world to observe climate impact on EDM. From the analysis, we are able to draw the connection that climate does in fact have an impact on the types of music produced. Likewise, we are able to conclude that there is a distinct variation in deep house, techno/tech house, and house as a result of the seasons shifting. Techno/tech house is more popular in the warmer spring and summer months and house and deep house have a higher standing in the colder fall and winter months.
ContributorsMuzzy, Bryce Richard (Author) / Feisst, Sabine (Thesis director) / Tobias, Evan (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / WPC Graduate Programs (Contributor)
Created2015-05