This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Description
We solve the problem of activity verification in the context of sustainability. Activity verification is the process of proving the user assertions pertaining to a certain activity performed by the user. Our motivation lies in incentivizing the user for engaging in sustainable activities like taking public transport or recycling. Such

We solve the problem of activity verification in the context of sustainability. Activity verification is the process of proving the user assertions pertaining to a certain activity performed by the user. Our motivation lies in incentivizing the user for engaging in sustainable activities like taking public transport or recycling. Such incentivization schemes require the system to verify the claim made by the user. The system verifies these claims by analyzing the supporting evidence captured by the user while performing the activity. The proliferation of portable smart-phones in the past few years has provided us with a ubiquitous and relatively cheap platform, having multiple sensors like accelerometer, gyroscope, microphone etc. to capture this evidence data in-situ. In this research, we investigate the supervised and semi-supervised learning techniques for activity verification. Both these techniques make use the data set constructed using the evidence submitted by the user. Supervised learning makes use of annotated evidence data to build a function to predict the class labels of the unlabeled data points. The evidence data captured can be either unimodal or multimodal in nature. We use the accelerometer data as evidence for transportation mode verification and image data as evidence for recycling verification. After training the system, we achieve maximum accuracy of 94% when classifying the transport mode and 81% when detecting recycle activity. In the case of recycle verification, we could improve the classification accuracy by asking the user for more evidence. We present some techniques to ask the user for the next best piece of evidence that maximizes the probability of classification. Using these techniques for detecting recycle activity, the accuracy increases to 93%. The major disadvantage of using supervised models is that it requires extensive annotated training data, which expensive to collect. Due to the limited training data, we look at the graph based inductive semi-supervised learning methods to propagate the labels among the unlabeled samples. In the semi-supervised approach, we represent each instance in the data set as a node in the graph. Since it is a complete graph, edges interconnect these nodes, with each edge having some weight representing the similarity between the points. We propagate the labels in this graph, based on the proximity of the data points to the labeled nodes. We estimate the performance of these algorithms by measuring how close the probability distribution of the data after label propagation is to the probability distribution of the ground truth data. Since labeling has a cost associated with it, in this thesis we propose two algorithms that help us in selecting minimum number of labeled points to propagate the labels accurately. Our proposed algorithm achieves a maximum of 73% increase in performance when compared to the baseline algorithm.
ContributorsDesai, Vaishnav (Author) / Sundaram, Hari (Thesis advisor) / Li, Baoxin (Thesis advisor) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013
Description

The purpose of this thesis is to contextualise Hindsight, a sustainability-focused historically based city-simulation and resource management game built by the author. The game and game engine were coded from scratch using the C# programming language and the Unity game development suite of tools. The game focuses on the management

The purpose of this thesis is to contextualise Hindsight, a sustainability-focused historically based city-simulation and resource management game built by the author. The game and game engine were coded from scratch using the C# programming language and the Unity game development suite of tools. The game focuses on the management of the city of London in two time periods, London from 1850 and the other set in 2050. Both versions of the city are divided into 21 zones, each of which can be managed by the player through the construction, upgrading, or destruction of various buildings within the zone. The player must manage both the city’s resources and the resources of the environment upon which the city depends in order to bring about a more sustainable future and bring the 2050-era version of the city back from the brink of environmental devastation. Along the way, the player must address the cultural views of the society they are managing to ensure their reforms will be accepted and can also see those views slowly change over time. The goal of the game is to provide an interactive learning experience for both the historical element of London and the importance of making sustainable choices.

ContributorsMeling, Kristian (Author) / Jakubczak, Laura (Thesis director) / Selgrad, Justin (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2023-05
Description

Mining is a key component of both the Brazilian and Chilean economies and accounts for an outsized share of these countries’ exports. Yet, it is a common target for environmental criticism, especially due to its impacts on local populations and ecosystems. Brazil and Chile have adopted markedly different trade strategies

Mining is a key component of both the Brazilian and Chilean economies and accounts for an outsized share of these countries’ exports. Yet, it is a common target for environmental criticism, especially due to its impacts on local populations and ecosystems. Brazil and Chile have adopted markedly different trade strategies over the past three decades, most notably with regards to their involvement in international trade agreements. This paper investigates how these differences in trade policy since 1990 have affected the sustainability of each country’s mining sector by identifying and comparing the channels through which free trade agreements influence the environmental impacts of resource extraction.

ContributorsKopek, Justin (Author) / Sheriff, Glenn (Thesis director) / Goodman, Glen (Committee member) / Barrett, The Honors College (Contributor) / Economics Program in CLAS (Contributor) / School of Politics and Global Studies (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor) / School of International Letters and Cultures (Contributor)
Created2023-05
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Description

In 2019, the World Health Organization stated that climate change and air pollution is the greatest growing threat to humanity. With a world population of close to 8 billion people, the rate of population growth continues to increase nearly 1.05% each year. As the world population grows, carbon dioxide emissions

In 2019, the World Health Organization stated that climate change and air pollution is the greatest growing threat to humanity. With a world population of close to 8 billion people, the rate of population growth continues to increase nearly 1.05% each year. As the world population grows, carbon dioxide emissions and climate change continue to accelerate. By observing increasing concentrations of greenhouse gas emissions in the atmosphere, scientists have correlated that the Earth’s temperature is increasing at an average rate of 0.13 degrees Fahrenheit each decade. In an effort to mitigate and slow climate change engineers across the globe have been eagerly seeking solutions to fight this problem. A new form of carbon dioxide mitigation technology that has begun to gain traction in the last decade is known as direct air capture (DAC). Direct air capture works by removing excess atmospheric carbon dioxide from the air and repurposing it. The major challenge faced with DAC is not capturing the carbon dioxide but finding a useful way to reuse the post-capture carbon dioxide. As part of my undergraduate requirements, I was tasked to address this issue and create my own unique design for a DAC system. The design was to have three major goals: be 100% self-sufficient, have net zero carbon emissions, and successfully repurpose excess carbon dioxide into a sustainable and viable product. Arizona was chosen for the location of the system due to the large availability of sunlight. Additionally, the design was to utilize a protein rich hydrogen oxidizing bacteria (HOB) known as Cupriavidus Necator. By attaching a bioreactor to the DAC system, excess carbon dioxide will be directly converted into a dense protein biomass that will be used as food supplements. In addition, my system was designed to produce 1 ton (roughly 907.185 kg) of protein in a year. Lastly, by utilizing solar energy and an atmospheric water generator, the system will produce its own water and achieve the goal of being 100% self-sufficient.

ContributorsMacIsaac, Ian (Author) / Lin, Jerry (Thesis director) / Ovalle-Encinia, Oscar (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2022-05
Description
Climate change is a well-known global threat to societal systems; however, its effects on the health of individuals are often less evident. Physicians who aim to properly treat patients holistically must be educated on the various forms of illness and disease projected to be exacerbated by climate change. Without this necessary climate education,

Climate change is a well-known global threat to societal systems; however, its effects on the health of individuals are often less evident. Physicians who aim to properly treat patients holistically must be educated on the various forms of illness and disease projected to be exacerbated by climate change. Without this necessary climate education, physicians run the risk of being unable to fulfill the most sacred charge of the Hippocratic oath: Do No Harm. To ensure that physicians moving forward are prepared to face this new global health threat, the prevalence of climate change in current medical school curricula must be examined. Content analysis of publicly available medical school curricula in the Southwest U.S. was done using ChatGPT to track the frequency of climate health search terms. Medical school curricula analyzed included mandatory degree programs as well as optional dual degree programs or pathways for medical student education. Researchers found that medical schools within the Southwest region of the United States are not sufficiently preparing students to mitigate the regional effects of climate change on the health of patients. Mandatory medical degree curriculum does not sufficiently educate on climate health issues, nor is it present in Utah, New Mexico, or Colorado. Optional degrees and pathways are available to medical students to enroll in and may be sufficient to educate a medical student, but are not enticing enough to sufficiently educate all medical students. Some medical schools have recently conducted revisals of their mandatory curriculum and still show a lack of education available about climate health issues. The lack of educational resources for future providers could lead to detrimental health outcomes for patients, and medical schools in development should take the lead in educating their students about climate health issues.
ContributorsGutierrez, Sean (Author) / Jamieson, Ann (Co-author) / Vanos, Jennifer (Thesis director) / Lobo, Jose (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)
Created2023-12