Matching Items (6)
Filtering by
- All Subjects: Sorority
- All Subjects: deep learning
- All Subjects: Greek
- Creators: McDaniel, Troy
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors. The extracted information can be used to understand the image better through recognizing different features present within the image. Deep CNNs, however, require training sets that can be larger than a million pictures in order to fine tune their feature detectors. For the case of facial expression datasets, none of these large datasets are available. Due to this limited availability of data required to train a new CNN, the idea of using naïve domain adaptation is explored. Instead of creating and using a new CNN trained specifically to extract features related to FER, a previously trained CNN originally trained for another computer vision task is used. Work for this research involved creating a system that can run a CNN, can extract feature vectors from the CNN, and can classify these extracted features. Once this system was built, different aspects of the system were tested and tuned. These aspects include the pre-trained CNN that was used, the layer from which features were extracted, normalization used on input images, and training data for the classifier. Once properly tuned, the created system returned results more accurate than previous attempts on facial expression recognition. Based on these positive results, naïve domain adaptation is shown to successfully leverage advantages of deep CNNs for facial expression recognition.
ContributorsEusebio, Jose Miguel Ang (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Most collegiate organizations aim to unite students with common interests and engage them in a like-minded community of peers. A significant sub-group of these organizations are classified under sororities and fraternities and commonly known as Greek Life. Member involvement is a crucial element for Greek Life as participation in philanthropic events, chapter meetings, rituals, recruitment events, etc. often reflects the state of the organization. The purpose of this project is to create a web application that allows members of an Arizona State University sorority to view their involvement activity as outlined by the chapter. Maintaining the balance between academics, sleep, a social life, and extra-curricular activities/organizations can be difficult for college students. With the use of this website, members can view their attendances, absences, and study/volunteer hours to know their progress towards the involvement requirements set by the chapter. This knowledge makes it easier to plan schedules and alleviate some stress associated with the time-management of sorority events, assignments/homework, and studying. It is also designed for the sorority leadership to analyze and track the participation of the membership. Members can submit their participation in events, making the need for manual counting and calculations disappear. The website administrator(s) can view and approve data from any and all members. The website was developed using HTML, CSS, and JavaScript in conjunction with Firebase for the back-end database. Human-Computer Interaction (HCI) tools and techniques were used throughout the development process to aide in prototyping, visual design, and evaluation. The front-end appearance of the website was designed to mimic the data manipulation used in the current involvement tracking system while presenting it in a more personalized and aesthetically pleasing manner.
ContributorsKolker, Madysen (Author) / McDaniel, Troy (Thesis director) / Tadayon, Arash (Committee member) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
The purpose of this paper is to explore what can broadly be described as the "American cultural narrative" by investigating and analyzing a particular element of American culture, the tragic play. In this paper, fifth-century Athenian and twentieth-century American tragedies are placed side by side, investigated, and analyzed with the hope of discovering aspects of the genre that are unique to American playwrights and might teach us something about the way in which we, as Americans, are separated culturally from others. The paper begins by analyzing the nature of the tragic genre before detailing how it has played a similar role here in the United States as it played in fifth-century Athens. Then, by analyzing primary texts, I seek to identify those unique aspects of the American form of the genre that reveal new insight into the American cultural narrative. The paper concludes by suggesting that the greatest insight that the tragic genre has to offer is that personal redemption and individualism are unique to American tragedy, suggesting that they might be unique aspects of the American cultural narrative.
ContributorsFernandez, Michael Anthony (Author) / O'Neill, Joseph (Thesis director) / Lynch, John (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This paper looks at the impact sorority life has on the collegiate women at Arizona State University. Much of the content widely available regarding members of the Greek community is relatively negative and describes these organizations through a critical lens. Finding this content to be contrary to that of my own experience, I sought to analyze the effects the community had, specifically the effects of the sororities and sorority women at Arizona State University. The analysis began with a thorough review of the history of fraternities and sororities, as well as a short overview of the history of feminism. Through the examination of this data, it becomes clear that the foundations of sororities are directly correlated with feminist aims and the feminist movement. After completing a review of their foundation, a trifold analysis of today's sororities was conducted. First, eight studies on the impact of the fraternal and sororal organizations on their members were reviewed, compared, contrasted. Next, a comprehensive survey was sent out to the Arizona State sorority members receiving 273 responses that were analyzed both holistically and from specific angles. Lastly, a brief follow-up interview of 25 of those 273 women was done in order to get more in depth responses and opinions from the women in this community. Combining the knowledge and results garnered from the literature review, survey, and interviews, it can be concluded that contrary to popular media, sorority life, for the most part, does in fact empower the women within it and provide a beneficial impact to both the member and the community at large.
ContributorsGolisch, Allison (Author) / Dove-Viebahn, Aviva (Thesis director) / Burke, Alison (Committee member) / W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This analysis aimed to understand how and why certain representations of fraternity and sorority life are consistently used in media texts. Throughout this thesis I analyzed various media including films, a television series, a documentary, and coverage of a news story and found that fraternity and sorority representations reinforce different social issues. Additionally, this thesis discusses how fraternities and sororities are framed in the media texts as institutions which force members to abide by larger societal norms and gender roles. Stigmas and social issues surrounding fraternity and sorority life including hazing, violence, and toxic masculinity, femininity and feminism, diversity and racism, and partying, power and misogyny are the focus of many of the media used in this study. This thesis analyzed how media use these topics to generalize representations of fraternity and sorority life members and to perpetuate normalized gender roles and dominant narratives about race and sexuality.
ContributorsLockhart, Christine (Author) / Himberg, Julia (Thesis director) / Dove-Viebahn, Aviva (Committee member) / Department of English (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In recent years, the development of new Machine Learning models has allowed for new technological advancements to be introduced for practical use across the world. Multiple studies and experiments have been conducted to create new variations of Machine Learning models with different algorithms to determine if potential systems would prove to be successful. Even today, there are still many research initiatives that are continuing to develop new models in the hopes to discover potential solutions for problems such as autonomous driving or determining the emotional value from a single sentence. One of the current popular research topics for Machine Learning is the development of Facial Expression Recognition systems. These Machine Learning models focus on classifying images of human faces that are expressing different emotions through facial expressions. In order to develop effective models to perform Facial Expression Recognition, researchers have gone on to utilize Deep Learning models, which are a more advanced implementation of Machine Learning models, known as Neural Networks. More specifically, the use of Convolutional Neural Networks has proven to be the most effective models for achieving highly accurate results at classifying images of various facial expressions. Convolutional Neural Networks are Deep Learning models that are capable of processing visual data, such as images and videos, and can be used to identify various facial expressions. The purpose of this project, I focused on learning about the important concepts of Machine Learning, Deep Learning, and Convolutional Neural Networks to implement a Convolutional Neural Network that was previously developed by a recommended research paper.
ContributorsFrace, Douglas R (Author) / Demakethepalli Venkateswara, Hemanth Kumar (Thesis director) / McDaniel, Troy (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05