Master's Theses

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This collection consists of digital copies of master's theses submitted for degree at the colleges and departments of Wichita State University. The collection includes theses beginning of fall 2005 -- summer 2022 as well as selected historical theses.

The complete set of all WSU theses may be found in the WSU Library Catalog. University Libraries has two paper copies of each theses submitted before 2006 and archival microfilm copies in the Libraries Special Collections for theses after 2006.


The latest addition to this collection is theses defended in fall 2023


Recent Submissions

Now showing 1 - 5 of 2077
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    Design and development of hydrogel for effective burn wound healing
    (Wichita State University, 2024-05) Paramshetty, Manju; Asmatulu, Eylem
    The creation and processing of intelligent hydrogels is becoming more and more of a focus in the field of material science research. As an exterior application, hydrogel compositions are quite successful in managing wound healing. Hydrogels developed for the healing of burn wounds tackle critical issues such controlling moisture, preventing infections, and promoting tissue regeneration. Hydrogels are more therapeutically effective when bioactive substances like growth factors and antibacterial chemicals are included, since this facilitates faster wound closure and tissue healing. Furthermore, regulated medication release and real-time monitoring of wound healing parameters are made possible by improvements in smart hydrogels, enabling customized treatment strategies. Burn wounds continue to be extremely difficult to treat, and burn injuries are a major global health problem. Our goal in this thesis is to create a unique hydrogel that would promote wound healing from burns, lessen pain and inflammation, and stop infections. The primary objective of this study is to investigate the effects of the natural and chemical ingredients in hydrogels recipe on the healing of burn wounds. Hydrogels may be created with customizable characteristics including porosity, swelling behavior, and degradation kinetics by a variety of synthetic techniques, such as physical and chemical cross linking. Hydrogel structure, content and properties may be evaluated by characterization methods including Fourier-transform infrared spectroscopy, Atomic force microscopy, X- ray diffraction, Thermogravimetric analysis and cytotoxicity, which guarantee the hydrogels’ appropriateness for use in burn wound treatments. In conclusion, design and development of hydrogel for effective burn wound healing offers an appropriate way to enhance the standard of care for burn victims and improve results.
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    Confronting fate
    (Wichita State University, 2024-05) Ragon, Douglas; MacDonald, David
    Confronting Fate is a four-movement suite for jazz big band, which merges aspects of neoclassical power metal, progressive metal, and djent into the big band idiom. The piece is semi-programmatic, and loosely tells a story of a hero fighting against a preordained existence to make their own fate. Music in the power metal genre is known for telling epic stories, which stereotypically might be about dragons and wizards, but most universally are about personal growth, freedom, and an internal locus of control. Confronting Fate’s story comes from that tradition. Movement 1, Prophecy, opens with a Bach-esque chorale before moving into a quasi-passacaglia and fugue. Throughout the movement, baroque style chord progressions and melodies can be heard, though they are juxtaposed against a modern jazz groove reminiscent of Maria Schneider compositions such as Hang Gliding. In the story, the hero has been prophesized to succumb to a fate out of their control and resolves to fight against this fate. Movement 2, Calamity, takes influence from progressive metal and djent. Saxophones play a near continuous riff throughout the movement, which phases and weaves onto itself creating internal patterns. Trumpets and trombones contribute with segments of this riff, further adding to the chaos. Eventually, everything converges into a djent-like breakdown, where open chugging from the guitars brings the band into a heavier texture, mirroring the music of bands such as Periphery and TesseracT. In the story, the hero is now engaged in battle against their fate, though the battle is not proceeding in the hero’s favor. Movement 3, From The Deep, is a power ballad. The lead guitarist is featured, bringing a taste of Yngwie Malmsteen into the big band world. This movement offers a brief reprieve from the chaos of movement 2, though it does not last long, as the band enters to end the movement in grandiose fashion. In the story, the hero has reached their lowest point following defeat in movement 2, but they find their inner strength and rise from the depths of defeat to finish the fight. Movement 4, …Make Their Own Fate, takes influence from the power metal genre with its driving groove, chord progressions, and melodies, and bands such as Galneryus, Stratovarius, and Sonata Arctica. Inspiration is also taken from the music of final boss fights in video games such as Destiny, and themes from previous movements are brought together to provide an epic and triumphant conclusion. In the story, the hero has arrived at their final battle, and uses their learnings from previous events in the story to make their own fate and emerge victorious.
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    Deep learning approaches for speech emotion recognition
    (Wichita State University, 2024-05) Srinivasan, Sriram; Kshirsagar, Shruti
    This thesis addresses the challenge of speech emotion recognition, focusing on contin- uous emotion estimation using deep learning techniques. Emotion detection plays a vital role in various domains, including healthcare, human-computer interaction, and affective com- puting. However, traditional approaches often struggle with accurately recognizing emotions across noise and reverberation, leading to limited diagnostic accuracy and applicability. To overcome these limitations, our study proposes a novel approach that integrates speech enhancement as a preprocessing step using advanced deep learning techniques. Our exper- imentation utilizes the AVEC 2018 challenge datasets, comprising audio/video recordings from diverse cultural backgrounds. The experimental pipeline involves several key components, including feature extrac- tion, model training, and data/speech enhancement techniques. We employ LSTM (Long Short-Term Memory) models for temporal dependency modeling and investigate the effec- tiveness of different hyperparameters, such as batch size, learning rate, and optimizer choice. We aim to evaluate the effectiveness of speech enhancement methods and explore the impact of various hyperparameters on emotion recognition performance. The results of our experi- ments demonstrate promising performance improvements when leveraging data/speech en- hancement techniques, such as single Spectral Enhancement (SSE) and Speech enhancement Generative adversarial network (SEGAN) show potential for capturing complex temporal relationships and contextual information, leading to enhanced emotion recognition capabil- ities. Overall, this research contributes to advancing the field of speech emotion recognition by providing insights into the effectiveness of different deep learning techniques and hyper- parameters. By improving emotion detection accuracy, our work lays the groundwork for future developments in healthcare monitoring technologies and human-computer interaction systems, ultimately enhancing patient outcomes and user experiences.
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    Verification of protection blinding in a real-world simulation model
    (Wichita State University, 2024-05) Rahman, Mohd Abrar; Aravinthan, Visvakumar
    The addition of renewable energy into the distribution comes with a large number of environmental benefits but does give rise to some risks associated with the protection system. Issues such as protection blinding, reverse flow, and sympathetic tripping are the most common that have been researched for the time over current relays. The coordination of these relays is at risk and verification of the relay settings on real world systems needs to be studied. This paper will build an urban Midwest utility Feeder distribution model in OpenDSS with the help of a local utility company and referencing one of their urban distribution models and verify if the standard protective relay settings are at risk of misoperating at the substation level. The study will be conducted on 3 different sized distributed energy resources (DER) and on two different locations on the same feeder, close to the substation and further away from the substation. Three different testing scenarios are conducted: normal flow with no faults on the system, faults only on the feeder that has the DER connected to it, and faults on neighboring feeders. Adjusting the DER size and location along with different fault types will allow to find the worst combination for protection blinding on the simulated model. The results show that the urban system in study is not at risk of protection blinding but is susceptible to sympathetic when the DER is large enough to back feed into the system. However, the placement of DER on the main feeder branch will avoid sympathetic tripping as the Switchgear feeder is the first protective device and is set high enough to avoid a misoperation. Placement of the DER on the Feeder branches does pose a threat and will cause a misoperation.
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    Plastic responses to diet quality and thermal gradients in dung beetles
    (Wichita State University, 2024-05) Proctor, Max Ryu; Jameson, Mary Liz
    In a dynamic world, organisms must swiftly adapt to environmental changes. Phenotypic plasticity enables organisms to alter their traits within their lifetime, providing a rapid response to shifting environments. Dung beetle horns display extreme plasticity, with males exhibiting varying horn sizes (horned "major" to hornless "minor" morphs) based on larval diet (dung type). Horns are utilized in male-male contests for mating, and body and horn size strongly influence success. Though plastic responses to dung quality are well studied, the interplay of temperature and nutritional conditions on these traits remains unexplored. We reared the dung beetle Digitonthophagus gazella in bison (Bison bison) and cattle (Bos taurus) dung, and across seven temperatures (22-34°C) to determine how these environmental factors interact to shape plastic responses in body size and horn length in dung beetles. Almost all (99%) of reared male beetles were major males in both cattle and bison dung treatments, indicating that both dung types are high quality resources for developing dung beetle larvae. The interaction between dung quality and temperature revealed distinct responses: beetles from bison dung show no temperaturerelated changes in body size and horns, while those from cattle dung exhibit larger sizes at intermediate (26-30°C) temperatures compared to those at colder (22-24°C) or warmer (32- 34°C) temperatures. This suggests that cattle dung may be a higher quality resource for D. gazella, allowing beetles to utilize a thermal optimum. In addition, development rates increased with temperature, with a more pronounced increase in the bison dung treatment. The interactive effects of diet quality and temperature on morphological and physiological plasticity in dung beetles demonstrate that plastic responses to one factor are not always fixed and can vary with changes in another. To accurately predict how organisms will respond to changing climates, it is essential to evaluate how thermal responses are altered by other factors such as diet quality.