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ASU Electronic Theses and Dissertations


This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.


Language
  • English
Resource Type
Date Range
2010 2020


In the modern age, where teams consist of people from disparate locations, remote team training is highly desired. Moreover, team members' overlapping schedules force their mentors to focus on individual training instead of team training. Team training is an integral part of collaborative team work. With the advent of modern technologies such as Web 2.0, cloud computing, etc. it is possible to revolutionize the delivery of time-critical team training in varied domains of healthcare military and education. Collaborative Virtual Environments (CVEs), also known as virtual worlds, and the existing worldwide footprint of high speed internet, would make remote team training …

Contributors
Parab, Sainath, Kahol, Kanav, Burleson, Wnslow, et al.
Created Date
2010

The need for sustainability in construction has encouraged scientists to develop novel environmentally friendly materials. The use of supplementary cementitious materials was one such initiative which aided in enhancing the fresh and hardened concrete properties. This thesis aims to explore the understanding of the early age rheological properties of such cementitious systems. The first phase of the work investigates the influence of supplementary cementitious materials (SCM) in combination with ordinary Portland cement (OPC) on the rheological properties of fresh paste with and without the effect of superplasticizers. Yield stress, plastic viscosity and storage modulus are the rheological parameters which were …

Contributors
Inbasekaran, Aditya, Neithalath, Narayanan, Rajan, Subramaniam, et al.
Created Date
2016

It is commonly known that High Performance Computing (HPC) systems are most frequently used by multiple users for batch job, parallel computations. Less well known, however, are the numerous HPC systems servicing data so sensitive that administrators enforce either a) sequential job processing - only one job at a time on the entire system, or b) physical separation - devoting an entire HPC system to a single project until recommissioned. The driving forces behind this type of security are numerous but share the common origin of data so sensitive that measures above and beyond industry standard are used to ensure …

Contributors
Ferguson, Joshua, Gupta, Sandeep Ks, Varsamopoulos, Georgios, et al.
Created Date
2013

K-Nearest-Neighbors (KNN) search is a fundamental problem in many application domains such as database and data mining, information retrieval, machine learning, pattern recognition and plagiarism detection. Locality sensitive hash (LSH) is so far the most practical approximate KNN search algorithm for high dimensional data. Algorithms such as Multi-Probe LSH and LSH-Forest improve upon the basic LSH algorithm by varying hash bucket size dynamically at query time, so these two algorithms can answer different KNN queries adaptively. However, these two algorithms need a data access post-processing step after candidates' collection in order to get the final answer to the KNN query. …

Contributors
Yu, Renwei, Candan, Kasim S, Sapino, Maria L, et al.
Created Date
2011

In 2012, there were an estimated 43.7 million adults in the United States that had a diagnosable mental, behavioral, or emotional disorder (US Department of Health and Human Services [HHS], 2013). Given the large frequency of disorders, it is beneficial to learn about what factors influence psychological distress. One construct that has been increasingly examined in association with mental disorders is time perspective. The current study will investigate whether or not time perspective, as measured by the Zimbardo Time Perspective Inventory (ZTPI), has a unique contribution to the prediction of psychological distress. Studies have shown that time perspective has been …

Contributors
Zoloto, Alexander Jay, Tracey, Terence, Kemer, Gulsah, et al.
Created Date
2015

Time series forecasting is the prediction of future data after analyzing the past data for temporal trends. This work investigates two fields of time series forecasting in the form of Stock Data Prediction and the Opioid Incident Prediction. In this thesis, the Stock Data Prediction Problem investigates methods which could predict the trends in the NYSE and NASDAQ stock markets for ten different companies, nine of which are part of the Dow Jones Industrial Average (DJIA). A novel deep learning model which uses a Generative Adversarial Network (GAN) is used to predict future data and the results are compared with …

Contributors
Thomas, Kevin, Sen, Arunabha, Davulcu, Hasan, et al.
Created Date
2019

Speech is generated by articulators acting on a phonatory source. Identification of this phonatory source and articulatory geometry are individually challenging and ill-posed problems, called speech separation and articulatory inversion, respectively. There exists a trade-off between decomposition and recovered articulatory geometry due to multiple possible mappings between an articulatory configuration and the speech produced. However, if measurements are obtained only from a microphone sensor, they lack any invasive insight and add additional challenge to an already difficult problem. A joint non-invasive estimation strategy that couples articulatory and phonatory knowledge would lead to better articulatory speech synthesis. In this thesis, a …

Contributors
Venkataramani, Adarsh Akkshai, Papandreou-Suppappola, Antonia, Bliss, Daniel W, et al.
Created Date
2018

The Santa Gertrudis Mining District of Sonora, Mexico contains more than a dozen purported Carlin-like, sedimentary-hosted, disseminated-gold deposits. A series of near-surface, mostly oxidized gold deposits were open-pit mined from the calcareous and clastic units of the Cretaceous Bisbee Group. Gold occurs as finely disseminated, sub-micron coatings on sulfides, associated with argillization and silicification of calcareous, carbonaceous, and siliciclastic sedimentary rocks in structural settings. Gold occurs with elevated levels of As, Hg, Sb, Pb, and Zn. Downhole drill data within distal disseminated gold zones reveal a 5:1 ratio of Ag:Au and strong correlations of Au to Pb and Zn. This …

Contributors
Geier, John Jeffrey, Reynolds, Stephen J, Burt, Donald, et al.
Created Date
2011

Titanium dioxide (TiO2) nanomaterial use is becoming more prevalent as is the likelihood of human exposure and environmental release. The goal of this thesis is to develop analytical techniques to quantify the level of TiO2 in complex matrices to support environmental, health, and safety research of TiO2 nanomaterials. A pharmacokinetic model showed that the inhalation of TiO2 nanomaterials caused the highest amount to be absorbed and distributed throughout the body. Smaller nanomaterials (< 5nm) accumulated in the kidneys before clearance. Nanoparticles of 25 nm diameter accumulated in the liver and spleen and were cleared from the body slower than smaller …

Contributors
Weir, Alex Alan, Westerhoff, Paul K, Hristovski, Kiril, et al.
Created Date
2011

“The Mystery of Light” is the first movement of a yet to be completed larger work titled ...to melt into the sun for chamber choir and percussion quartet. The text of the work is an excerpt from Kahlil Gibran’s masterpiece, The Prophet. This book tells the story of a prophet-like man, Almustafa, who, before embarking on the journey back to his native land, stops in the city of Orphalese, where the townspeople, having known him for many years, entreat him to share his wisdom before he departs. The seeress, Almitra, urges him, “speak to us and give us of your …

Contributors
Stefans, Karl, Temple, Alex, Knowles, Kristina, et al.
Created Date
2020