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Title: The American Black Body: Materials,Symbols, and Representations from a Perceived African American.
Creator: Santos, Christopher, Raimundi-Ortiz, Wanda, Buyssens, Ryan, Lotz, Theo, University of Central Florida
Abstract / Description: As a Cape Verdean American, I investigate the idea of what it means to be of the African Diaspora in America. I also consider the experiences of past generations of American black bodies and how their history has molded my world. This series of work began with Mask Drawing 1, an ink drawing inspired by my own interpretation of an African mask. Subjected to colorism, the discrimination of a person based on their skin color, my skin was not enough validation for other people to view me as black...
Show moreAs a Cape Verdean American, I investigate the idea of what it means to be of the African Diaspora in America. I also consider the experiences of past generations of American black bodies and how their history has molded my world. This series of work began with Mask Drawing 1, an ink drawing inspired by my own interpretation of an African mask. Subjected to colorism, the discrimination of a person based on their skin color, my skin was not enough validation for other people to view me as black. On numerous occasions I have had to clarify my identity, nationality and how these things qualify me as black. I was not perceived as black because I did not fit the stereotype society influenced us to believe, that black people all look, walk and talk a certain way. I did not fit because my skin was not dark enough, my hair wasn't the same texture, and my last name was Santos. This led me to question how I present myself versus how other individuals may perceive me. I wanted to create new artifacts that highlighted my experience of blackness in America. Through the abstraction of these artifacts I explore black identities and how they have change society for black people.
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Date Issued: 2018
Identifier: CFE0007093, ucf:51946
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007093

Title: THE RELATIONSHIP BETWEEN CONSCIOUSNESS AND INTENTIONALITY.
Creator: Bell, Jordan, Cash, Mason, University of Central Florida
Abstract / Description: Within the Philosophy of Mind two features of our mental life have been acknowledged as the most perplexing - consciousness, the phenomenal "what it is likeness" of our mental states, and intentionality, the aboutness or directedness of our mental states. As such, it has become commonplace to develop theories about these phenomena which seek to explain them naturalistically, that is, without resort to magic or miracles. Traditionally this has been done by analyzing consciousness and...
Show moreWithin the Philosophy of Mind two features of our mental life have been acknowledged as the most perplexing - consciousness, the phenomenal "what it is likeness" of our mental states, and intentionality, the aboutness or directedness of our mental states. As such, it has become commonplace to develop theories about these phenomena which seek to explain them naturalistically, that is, without resort to magic or miracles. Traditionally this has been done by analyzing consciousness and intentionality apart from one another. However, in more recent years the tide has turned. In contemporary theories these phenomena are typically analyzed in terms of the other. This results in two competing views: Representationalism, which seeks to ground consciousness in intentionality, and Phenomenalism, which seeks to ground intentionality in consciousness. David Chalmers has proposed an alternative view to these which takes consciousness and intentionality as essentially interdependent, neither more fundamental than the other. This thesis explores the motivations for Representationalism and Phenomenalism, outlines their extraneous commitments, and analyzes their merits - as well as assessing whether Chalmers' view is a defensible middle ground. This involves an analysis of the metaphysical doctrine of physicalism, phenomenal consciousness, intentionality, and the nature of mental content. I argue that the view which Chalmers advocates is the best supported. Yet, I argue, it could benefit by adopting a thoroughgoing externalism of mental content.
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Date Issued: 2013
Identifier: CFH0004381, ucf:44988
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004381

Title: THE EVOLUTION OF HATE CRIMES AND THEIR REPRESENTATION ON STAGE.
Creator: Cortelli, Pietro, Weaver, Earl D., University of Central Florida
Abstract / Description: My thesis focuses on how true-life events resulting from hate crimes have been theatricalized for the stage. My research discusses hate crimes that have occurred throughout history. My primary research centers on Ragtime (1897-1918), The Diary of Anne Frank (1939-1945) and The Laramie Project (2002), which deal with racism, anti-Semitism and homophobia, respectively. My intention is to highlight how theatre impacts the ideas and thoughts of audiences and transforms thinking and points of view...
Show moreMy thesis focuses on how true-life events resulting from hate crimes have been theatricalized for the stage. My research discusses hate crimes that have occurred throughout history. My primary research centers on Ragtime (1897-1918), The Diary of Anne Frank (1939-1945) and The Laramie Project (2002), which deal with racism, anti-Semitism and homophobia, respectively. My intention is to highlight how theatre impacts the ideas and thoughts of audiences and transforms thinking and points of view forever, as well as impacting cultures and our world. In addition, I discuss the historical measures that led to these events and progression in modern times. Music, art and theater are known as Ã‚Â"performing artsÃ‚Â" which enrich our lives and leave us feeling complete. They also have the power to influence people and open minds and hearts to different ways of thinking about the world and its people.
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Date Issued: 2010
Identifier: CFE0003458, ucf:48379
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003458

Title: Company unions today.
Creator: Dunn, Robert Williams
Date Issued: 1935
Identifier: 370342, CFDT370342, ucf:5475
Format: Document (PDF)
PURL: http://purl.flvc.org/FCLA/DT/370342

Title: COMPARISON OF SPARSE CODING AND JPEG CODING SCHEMES FOR BLURRED RETINAL IMAGES.
Creator: Chandrasekaran, Balaji, Wei, Lei, University of Central Florida
Abstract / Description: Overcomplete representations are currently one of the highly researched areas especially in the field of signal processing due to their strong potential to generate sparse representation of signals. Sparse representation implies that given signal can be represented with components that are only rarely significantly active. It has been strongly argued that the mammalian visual system is highly related towards sparse and overcomplete representations. The primary visual cortex has overcomplete...
Show moreOvercomplete representations are currently one of the highly researched areas especially in the field of signal processing due to their strong potential to generate sparse representation of signals. Sparse representation implies that given signal can be represented with components that are only rarely significantly active. It has been strongly argued that the mammalian visual system is highly related towards sparse and overcomplete representations. The primary visual cortex has overcomplete responses in representing an input signal which leads to the use of sparse neuronal activity for further processing. This work investigates the sparse coding with an overcomplete basis set representation which is believed to be the strategy employed by the mammalian visual system for efficient coding of natural images. This work analyzes the Sparse Code Learning algorithm in which the given image is represented by means of linear superposition of sparse statistically independent events on a set of overcomplete basis functions. This algorithm trains and adapts the overcomplete basis functions such as to represent any given image in terms of sparse structures. The second part of the work analyzes an inhibition based sparse coding model in which the Gabor based overcomplete representations are used to represent the image. It then applies an iterative inhibition algorithm based on competition between neighboring transform coefficients to select subset of Gabor functions such as to represent the given image with sparse set of coefficients. This work applies the developed models for the image compression applications and tests the achievable levels of compression of it. The research towards these areas so far proves that sparse coding algorithms are inefficient in representing high frequency sharp image features. So this work analyzes the performance of these algorithms only on the natural images which does not have sharp features and compares the compression results with the current industrial standard coding schemes such as JPEG and JPEG 2000. It also models the characteristics of an image falling on the retina after the distortion effects of the eye and then applies the developed algorithms towards these images and tests compression results.
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Date Issued: 2007
Identifier: CFE0001701, ucf:47328
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001701

Title: STUDENT PERCEPTIONS OF RACE AND GENDER REPRESENTATIONS WITHIN COLLEGE TEXTBOOKS.
Creator: Blankenship, Chastity, Grauerholz, Dr. Elizabeth, University of Central Florida
Abstract / Description: This study examines introductory textbooks images across a variety of disciplines, with particular focus on the ways in which race and gender are shown. This study goes beyond a basic analysis of textbooks, however, and also explores student perceptions of textbook images. My data show that compartmentalization of gender and race into certain themes still occurs within some textbooks. Specifically, white men were more likely to be depicted as hard workers and contributors to the field than...
Show moreThis study examines introductory textbooks images across a variety of disciplines, with particular focus on the ways in which race and gender are shown. This study goes beyond a basic analysis of textbooks, however, and also explores student perceptions of textbook images. My data show that compartmentalization of gender and race into certain themes still occurs within some textbooks. Specifically, white men were more likely to be depicted as hard workers and contributors to the field than any other race and gender. Despite these results, students seemed mixed on the importance of textbook images with many students focused on the extent their textbook was useful for class.
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Date Issued: 2011
Identifier: CFE0003878, ucf:48714
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003878

Title: AR Physics: Transforming physics diagrammatic representations on paper into interactive simulations.
Creator: Zhou, Yao, Underberg-Goode, Natalie, Lindgren, Robb, Moshell, Jack, Peters, Philip, University of Central Florida
Abstract / Description: A problem representation is a cognitive structure created by the solver in correspondence to the problem. Sketching representative diagrams in the domain of physics encourages a problem solving strategy that starts from 'envisionment' by which one internally simulates the physical events and predicts outcomes. Research studies also show that sketching representative diagrams improves learner's performance in solving physics problems. The pedagogic benefits of sketching representations on...
Show moreA problem representation is a cognitive structure created by the solver in correspondence to the problem. Sketching representative diagrams in the domain of physics encourages a problem solving strategy that starts from 'envisionment' by which one internally simulates the physical events and predicts outcomes. Research studies also show that sketching representative diagrams improves learner's performance in solving physics problems. The pedagogic benefits of sketching representations on paper make this traditional learning strategy remain pivotal and worthwhile to be preserved and integrated into the current digital learning landscape.In this paper, I describe AR Physics, an Augmented Reality based application that intends to facilitate one's learning of physics concepts about objects' linear motion. It affords the verified physics learning strategy of sketching representative diagrams on paper, and explores the capability of Augmented Reality in enhancing visual conceptions. The application converts the diagrams drawn on paper into virtual representations displayed on a tablet screen. As such learners can create physics simulation based on the diagrams and test their (")envisionment(") for the diagrams. Users' interaction with AR Physics consists of three steps: 1) sketching a diagram on paper; 2) capturing the sketch with a tablet camera to generate a virtual duplication of the diagram on the tablet screen, and 3) placing a physics object and configuring relevant parameters through the application interface to construct a physics simulation.A user study about the efficiency and usability of AR Physics was performed with 12 college students. The students interacted with the application, and completed three tasks relevant to the learning material. They were given eight questions afterwards to examine their post-learning outcome. The same questions were also given prior to the use of the application in order to comparewith the post results. System Usability Scale (SUS) was adopted to assess the application's usability and interviews were conducted to collect subjects' opinions about Augmented Reality in general. The results of the study demonstrate that the application can effectively facilitate subjects' understanding the target physics concepts. The overall satisfaction with the application's usability was disclosed by the SUS score. Finally subjects expressed that they gained a clearer idea about Augmented Reality through the use of the application.
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Date Issued: 2014
Identifier: CFE0005566, ucf:50292
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005566

Title: A SPARSE PROGRAM DEPENDENCE GRAPH FOR OBJECT ORIENTED PROGRAMMING LANGUAGES.
Creator: Garfield, Keith, Hughes, Charles, University of Central Florida
Abstract / Description: The Program Dependence Graph (PDG) has achieved widespread acceptance as a useful tool for software engineering, program analysis, and automated compiler optimizations. This thesis presents the Sparse Object Oriented Program Dependence Graph (SOOPDG), a formalism that contains elements of traditional PDG's adapted to compactly represent programs written in object-oriented languages such as Java. This formalism is called sparse because, in contrast to other OO and Java-specific adaptations...
Show moreThe Program Dependence Graph (PDG) has achieved widespread acceptance as a useful tool for software engineering, program analysis, and automated compiler optimizations. This thesis presents the Sparse Object Oriented Program Dependence Graph (SOOPDG), a formalism that contains elements of traditional PDG's adapted to compactly represent programs written in object-oriented languages such as Java. This formalism is called sparse because, in contrast to other OO and Java-specific adaptations of PDG's, it introduces few node types and no new edge types beyond those used in traditional dependence-based representations. This results in correct program representations using smaller graph structures and simpler semantics when compared to other OO formalisms. We introduce the Single Flow to Use (SFU) property which requires that exactly one definition of each variable be available for each use. We demonstrate that the SOOPDG, with its support for the SFU property coupled with a higher order rewriting semantics, is sufficient to represent static Java-like programs and dynamic program behavior. We present algorithms for creating SOOPDG representations from program text, and describe graph rewriting semantics. We also present algorithms for common static analysis techniques such as program slicing, inheritance analysis, and call chain analysis. We contrast the SOOPDG with two previously published OO graph structures, the Java System Dependence Graph and the Java Software Dependence Graph. The SOOPDG results in comparatively smaller static representations of programs, cleaner graph semantics, and potentially more accurate program analysis. Finally, we introduce the Simulation Dependence Graph (SDG). The SDG is a related representation that is developed specifically to represent simulation systems, but is extensible to more general component-based software design paradigms. The SDG allows formal reasoning about issues such as component composition, a property critical to the creation and analysis of complex simulation systems and component-based design systems.
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Date Issued: 2006
Identifier: CFE0001499, ucf:47077
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001499

Title: THE PROTEOMICS APPROACH TO EVOLUTIONARY COMPUTATION: AN ANALYSIS OF PROTEOME-BASED LOCATION INDEPENDENT REPRESENTATIONS BASEDON THE PROPORTIONAL GENETIC ALGORITHM.
Creator: Garibay, Ivan, Wu, Annie, University of Central Florida
Abstract / Description: As the complexity of our society and computational resources increases, so does the complexity of the problems that we approach using evolutionary search techniques. There are recent approaches to deal with the problem of scaling evolutionary methods to cope with highly complex difficult problems. Many of these approaches are biologically inspired and share an underlying principle: a problem representation based on basic representational building blocks that interact and self-organize into...
Show moreAs the complexity of our society and computational resources increases, so does the complexity of the problems that we approach using evolutionary search techniques. There are recent approaches to deal with the problem of scaling evolutionary methods to cope with highly complex difficult problems. Many of these approaches are biologically inspired and share an underlying principle: a problem representation based on basic representational building blocks that interact and self-organize into complex functions or designs. The observation from the central dogma of molecular biology that proteins are the basic building blocks of life and the recent advances in proteomics on analysis of structure, function and interaction of entire protein complements, lead us to propose a unifying framework of thought for these approaches: the proteomics approach. This thesis propose to investigate whether the self-organization of protein analogous structures at the representation level can increase the degree of complexity and ``novelty'' of solutions obtainable using evolutionary search techniques. In order to do so, we identify two fundamental aspects of this transition: (1) proteins interact in a three dimensional medium analogous to a multiset; and (2) proteins are functional structures. The first aspect is foundational for understanding of the second. This thesis analyzes the first aspect. It investigates the effects of using a genome to proteome mapping on evolutionary computation. This analysis is based on a genetic algorithm (GA) with a string to multiset mapping that we call the proportional genetic algorithm (PGA), and it focuses on the feasibility and effectiveness of this mapping. This mapping leads to a fundamental departure from typical EC methods: using a multiset of proteins as an intermediate mapping results in a \emph{completely location independent} problem representation where the location of the genes in a genome has no effect on the fitness of the solutions. Completely location independent representations, by definition, do not suffer from traditional EC hurdles associated with the location of the genes or positional effect in a genome. Such representations have the ability to self-organize into a genomic structure that appears to favor positive correlations between form and quality of represented solutions. Completely location independent representations also introduce new problems of their own such as the need for large alphabets of symbols and the theoretical need for larger representation spaces than traditional approaches. Overall, these representations perform as well or better than traditional representations and they appear to be particularly good for the class of problems involving proportions or multisets. This thesis concludes that the use of protein analogous structures as an intermediate representation in evolutionary computation is not only feasible but in some cases advantageous. In addition, it lays the groundwork for further research on proteins as functional self-organizing structures capable of building increasingly complex functionality, and as basic units of problem representation for evolutionary computation.
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Date Issued: 2004
Identifier: CFE0000311, ucf:46307
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000311

Title: ALAYZING THE EFFECTS OF MODULARITY ON SEARCH SPACES.
Creator: Garibay, Ozlem, Wu, Annie, University of Central Florida
Abstract / Description: We are continuously challenged by ever increasing problem complexity and the need to develop algorithms that can solve complex problems and solve them within a reasonable amount of time. Modularity is thought to reduce problem complexity by decomposing large problems into smaller and less complex subproblems. In practice, introducing modularity into evolutionary algorithm representations appears to improve search performance; however, how and why modularity improves performance is not well...
Show moreWe are continuously challenged by ever increasing problem complexity and the need to develop algorithms that can solve complex problems and solve them within a reasonable amount of time. Modularity is thought to reduce problem complexity by decomposing large problems into smaller and less complex subproblems. In practice, introducing modularity into evolutionary algorithm representations appears to improve search performance; however, how and why modularity improves performance is not well understood. In this thesis, we seek to better understand the effects of modularity on search. In particular, what are the effects of module creation on the search space structure and how do these structural changes affect performance? We define a theoretical and empirical framework to study modularity in evolutionary algorithms. Using this framework, we provide evidence of the following. First, not all types of modularity have an effect on search. We can have highly modular spaces that in essence are equivalent to simpler non-modular spaces. This is the case, because these spaces achieve higher degree of modularity without changing the fundamental structure of the search space. Second, for the cases when modularity actually has an effect on the fundamental structure of the search space, if left without guidance, it would only crowd and complicate the space structure resulting in a harder space for most search algorithms. Finally, we have the case when modularity not only has an effect in the search space structure, but most importantly, module creation can be guided by problem domain knowledge. When this knowledge can be used to estimate the value of a module in terms of its contribution toward building the solution, then modularity is extremely effective. It is in this last case that creating high value modules or low value modules has a direct and decisive impact on performance. The results presented in this thesis help to better understand, in a principled way, the effects of modularity on search. Better understanding the effects of modularity on search is a step forward in the larger issue of evolutionary search applied to increasingly complex problems.
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Date Issued: 2008
Identifier: CFE0002490, ucf:47680
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002490

Title: AN EXPLORATION OF REPRESENTATIONS OF RACE AND ETHNICITY IN THREE TRANSITIONAL SERIES FOR YOUNG CHILDREN.
Creator: Balkaran, Sonia M, Roberts, Sherron Killingsworth, Goodman, Constance, University of Central Florida
Abstract / Description: This thesis seeks to explore the related research literature surrounding representations and portrayals of protagonists of various multicultural backgrounds in series or transitional books. As teachers, it is essential to acknowledge the lack of multicultural characters in children's literature among elementary classroom bookshelves and learn how to incorporate literature featuring strong main characters of varying races and ethnicities so that children can see role models who mirror their...
Show moreThis thesis seeks to explore the related research literature surrounding representations and portrayals of protagonists of various multicultural backgrounds in series or transitional books. As teachers, it is essential to acknowledge the lack of multicultural characters in children's literature among elementary classroom bookshelves and learn how to incorporate literature featuring strong main characters of varying races and ethnicities so that children can see role models who mirror their own contexts. Prior studies, such as Gangi (2008) and Green and Hopenwasser (2017) have examined the deficiency of multicultural literature in the classroom, particularly among transitional stories, which shows the importance of exploring this topic. Furthermore, Green and Hopenwasser (2017) emphasize the importance of equal representation of transitional books with characters of diverse ethnicities, as they act as "mirrors and windows" for students to reflect upon themselves. These studies argue that to prevent the "whitewashing" of literature for primary grades, teachers should be cautious while choosing series or transitional books. I conducted an equity audit on three series or transitional books from different time periods, commonly found among elementary classroom libraries to explore ethnic and racial representations of protagonists to the actual demographics of the third-grade student population. Administering this equity audit also determined that popular series or transitional books are advantageous to include in classroom libraries when protagonists are portrayed as non-stereotypical experiencing real-life situations. The findings of this equity audit have the potential for educators to improve their methods choosing literature with characters of diverse races and ethnicities and improve methods of integrating multicultural literature into lessons.
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Date Issued: 2018
Identifier: CFH2000409, ucf:45704
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000409

Title: REPRESENTATION AND IMAGINATION OF THE HOLOCAUST IN YOUNG ADULT LITERATURE.
Creator: mackarey , amelia, Campbell , James, University of Central Florida
Abstract / Description: The intent of this thesis is to examine and interpret the representation of the Holocaust in young adult literature. The tone, style, and emotion used to convey the Holocaust experience, both in fiction and nonfiction stories, in eyewitness and indirect accounts, affects its representation to a young adult audience. I will study the effects of sentimentality, realism, and fun and their impact on our understanding and remembrance of the Holocaust. I will analyze several texts, including Island...
Show moreThe intent of this thesis is to examine and interpret the representation of the Holocaust in young adult literature. The tone, style, and emotion used to convey the Holocaust experience, both in fiction and nonfiction stories, in eyewitness and indirect accounts, affects its representation to a young adult audience. I will study the effects of sentimentality, realism, and fun and their impact on our understanding and remembrance of the Holocaust. I will analyze several texts, including Island on Bird Street, The Book Thief, and Night. The paradox of finding an appropriate balance between presenting a realistic portrayal of the Holocaust and understanding that we could never fathom the horrors of the Holocaust is one that plagues both writers and readers of this genre of literature and I plan to critique the ways in which different works discuss the subject. Ultimately, I will consider the conflict of how we negotiate between complete repression versus obsessive memorialization. What is the role of memory? What is the proper way to move on from the horrors of the past while still honoring the innocent people who lived and died? Through my analysis, I hope to attempt to answer these questions and, perhaps, provide suggestions for appropriate representation and memorialization.
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Date Issued: 2014
Identifier: CFH0004575, ucf:45214
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004575

Title: Frames and Phase Retrieval.
Creator: Juste, Ted, Han, Deguang, Sun, Qiyu, Dutkay, Dorin, Wang, Dingbao, University of Central Florida
Abstract / Description: Phase retrieval tackles the problem of recovering a signal after loss of phase. The phase problem shows up in many different settings such as X-ray crystallography, speech recognition, quantum information theory, and coherent diffraction imaging. In this dissertation we present some results relating to three topics on phase retrieval. Chapters 1 and 2 contain the relevant background materials. In chapter 3, we introduce the notion of exact phase-retrievable frames as a way of measuring aframe...
Show morePhase retrieval tackles the problem of recovering a signal after loss of phase. The phase problem shows up in many different settings such as X-ray crystallography, speech recognition, quantum information theory, and coherent diffraction imaging. In this dissertation we present some results relating to three topics on phase retrieval. Chapters 1 and 2 contain the relevant background materials. In chapter 3, we introduce the notion of exact phase-retrievable frames as a way of measuring aframe's redundancy with respect to its phase retrieval property. We show that, in the d-dimensional real Hilbert space case, exact phase-retrievable frames can be of any lengths between 2d ? 1 and d(d + 1)/2, inclusive. The complex Hilbert space case remains open.In chapter 4, we investigate phase-retrievability by studying maximal phase-retrievable subspaces with respect to a given frame. These maximal PR-subspaces can have different dimensions. We are able to identify the ones with the largest dimension and this can be considered as a generalizationof the characterization of real phase-retrievable frames. In the basis case, we prove that if M is a k-dimensional PR-subspace then |supp(x)| ? k for every nonzero vector x ? M . Moreover, if1 ? k (<) [(d + 1)/2], then a k-dimensional PR-subspace is maximal if and only if there exists a vector x ? M such that |supp(x)| = k.Chapter 5 is devoted to investigating phase-retrievable operator-valued frames. We obtain some characterizations of phase-retrievable frames for general operator systems acting on both finite and infinite dimensional Hilbert spaces; thus generalizing known results for vector-valued frames, fusion frames, and frames of Hermitian matrices.Finally, in Chapter 6, we consider the problem of characterizing projective representations that admit frame vectors with the maximal span property, a property that allows for an algebraic recov-ering of the phase-retrieval problem. We prove that every irreducible projective representation of a finite abelian group admits a frame vector with the maximal span property. All such vectors can be explicitly characterized. These generalize some of the recent results about phase-retrieval with Gabor (or STFT) measurements.
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Date Issued: 2019
Identifier: CFE0007660, ucf:52503
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007660

Title: Effective Task Transfer Through Indirect Encoding.
Creator: Verbancsics, Phillip, Stanley, Kenneth, Sukthankar, Gita, Georgiopoulos, Michael, Garibay, Ivan, University of Central Florida
Abstract / Description: An important goal for machine learning is to transfer knowledge between tasks. For example, learning to play RoboCup Keepaway should contribute to learning the full game of RoboCup soccer. Often approaches to task transfer focus on transforming the original representation to fit the new task. Such representational transformations are necessary because the target task often requires new state information that was not included in the original representation. In RoboCup Keepaway, changing from...
Show moreAn important goal for machine learning is to transfer knowledge between tasks. For example, learning to play RoboCup Keepaway should contribute to learning the full game of RoboCup soccer. Often approaches to task transfer focus on transforming the original representation to fit the new task. Such representational transformations are necessary because the target task often requires new state information that was not included in the original representation. In RoboCup Keepaway, changing from the 3 vs. 2 variant of the task to 4 vs. 3 adds state information for each of the new players. In contrast, this dissertation explores the idea that transfer is most effective if the representation is designed to be the same even across different tasks. To this end, (1) the bird's eye view (BEV) representation is introduced, which can represent different tasks on the same two-dimensional map. Because the BEV represents state information associated with positions instead of objects, it can be scaled to more objects without manipulation. In this way, both the 3 vs. 2 and 4 vs. 3 Keepaway tasks can be represented on the same BEV, which is (2) demonstrated in this dissertation.Yet a challenge for such representation is that a raw two-dimensional map is high-dimensional and unstructured. This dissertation demonstrates how this problem is addressed naturally by the Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach. HyperNEAT evolves an indirect encoding, which compresses the representation by exploiting its geometry. The dissertation then explores further exploiting the power of such encoding, beginning by (3) enhancing the configuration of the BEV with a focus on modularity. The need for further nonlinearity is then (4) investigated through the addition of hidden nodes. Furthermore, (5) the size of the BEV can be manipulated because it is indirectly encoded. Thus the resolution of the BEV, which is dictated by its size, is increased in precision and culminates in a HyperNEAT extension that is expressed at effectively infinite resolution. Additionally, scaling to higher resolutions through gradually increasing the size of the BEV is explored. Finally, (6) the ambitious problem of scaling from the Keepaway task to the Half-field Offense task is investigated with the BEV. Overall, this dissertation demonstrates that advanced representations in conjunction with indirect encoding can contribute to scaling learning techniques to more challenging tasks, such as the Half-field Offense RoboCup soccer domain.
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Date Issued: 2011
Identifier: CFE0004174, ucf:49071
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004174

Title: A MULTIPLE CASE STUDY INVESTIGATING THE EFFECTS OF TECHNOLOGY ON STUDENTS' VISUAL AND NONVISUAL THINKING PREFERENCES: COMPARING PAPER-PENCIL AND DYNAMIC SOFTWARE BASED STRATEGIES OF ALGEBRA WORD PROBLEMS.
Creator: Coskun, Sirin, Dixon, Juli, University of Central Florida
Abstract / Description: In this multiple-case study, I developed cases describing three students' (Mary, Ryan and David) solution methods for algebra word problems and investigated the effect of technology on their solution methods by making inferences about their preferences for visual or nonvisual solutions. Furthermore, I examined the students' solution methods when presented with virtual physical representations of the situations described in the problems and attempted to explain the effect of those...
Show moreIn this multiple-case study, I developed cases describing three students' (Mary, Ryan and David) solution methods for algebra word problems and investigated the effect of technology on their solution methods by making inferences about their preferences for visual or nonvisual solutions. Furthermore, I examined the students' solution methods when presented with virtual physical representations of the situations described in the problems and attempted to explain the effect of those representations on students' thinking preferences. In this study, the use of technology referred to the use of the dynamic software program Geogebra. Suwarsono's (1982) Mathematical Processing Instrument (MPI) was administered to determine their preferences for visual and nonvisual thinking. During the interviews, students were presented with paper-and-pencil-based tasks (PBTs), Geogebra-based tasks (GBTs) and Geogebra-based tasks with virtual physical representations (GBT-VPRs). Each category included 10 algebra word problems, with similar problems across categories. (i.e., PBT 9, GBT 9 and GBT-VPR 9 were similar). By investigating students' methods of solution and their use of representations in solving those tasks, I compared and contrasted their preferences for visual and nonvisual methods when solving problems with and without technology. The comparison between their solutions of PBTs and GBTs revealed how dynamic software influenced their method of solution. Regardless of students' preferences for visual and nonvisual solutions, with the use of dynamic software students employed more visual methods when presented with GBTs. When visual methods were as accessible and easy to use as nonvisual methods, students preferred to use them, thus demonstrating that they possessed a more complete knowledge of problem-solving with dynamic software than their work on the PBTs. Nowadays, we can construct virtual physical representations of the problems in technology environments that will help students explore the relationships and look for patterns that can be used to solve the problem. Unlike GBTs, GBT-VPRs did not influence students' preferences for visual or nonvisual methods. Students continued to rely on methods that they preferred since their preferences for visual or nonvisual solutions regarding GBT-PRs were similar to their solution preferences for the problems on MPI that was administered to them to determine their preferences for visual or nonvisual methods. Mary, whose MPI score suggested that she preferred to solve mathematics problems using nonvisual methods, solved GBT-VPRs with nonvisual methods. Ryan, whose MPI score suggested that he preferred to solve mathematics problems using visual methods, solved GBT-VPRs with visual methods. David, whose MPI score suggested that he preferred to solve mathematics problems using both visual and nonvisual methods, solved GBT-VPRs with both visual and nonvisual methods.
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Date Issued: 2011
Identifier: CFE0003900, ucf:48733
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003900

Title: Motor imagery classification using sparse representation of EEG signals.
Creator: Saidi, Pouria, Atia, George, Vosoughi, Azadeh, Berman, Steven, University of Central Florida
Abstract / Description: The human brain is unquestionably the most complex organ of the body as it controls and processes its movement and senses. A healthy brain is able to generate responses to the signals it receives, and transmit messages to the body. Some neural disorders can impair the communication between the brain and the body preventing the transmission of these messages. Brain Computer Interfaces (BCIs) are devices that hold immense potential to assist patients with such disorders by analyzing brain...
Show moreThe human brain is unquestionably the most complex organ of the body as it controls and processes its movement and senses. A healthy brain is able to generate responses to the signals it receives, and transmit messages to the body. Some neural disorders can impair the communication between the brain and the body preventing the transmission of these messages. Brain Computer Interfaces (BCIs) are devices that hold immense potential to assist patients with such disorders by analyzing brain signals, translating and classifying various brain responses, and relaying them to external devices and potentially back to the body. Classifying motor imagery brain signals where the signals are obtained based on imagined movement of the limbs is a major, yet very challenging, step in developing Brain Computer Interfaces (BCIs). Of primary importance is to use less data and computationally efficient algorithms to support real-time BCI. To this end, in this thesis we explore and develop algorithms that exploit the sparse characteristics of EEGs to classify these signals. Different feature vectors are extracted from EEG trials recorded by electrodes placed on the scalp.In this thesis, features from a small spatial region are approximated by a sparse linear combination of few atoms from a multi-class dictionary constructed from the features of the EEG training signals for each class. This is used to classify the signals based on the pattern of their sparse representation using a minimum-residual decision rule.We first attempt to use all the available electrodes to verify the effectiveness of the proposed methods. To support real time BCI, the electrodes are reduced to those near the sensorimotor cortex which are believed to be crucial for motor preparation and imagination.In a second approach, we try to incorporate the effect of spatial correlation across the neighboring electrodes near the sensorimotor cortex. To this end, instead of considering one feature vector at a time, we use a collection of feature vectors simultaneously to find the joint sparse representation of these vectors. Although we were not able to see much improvement with respect to the first approach, we envision that such improvements could be achieved using more refined models that can be subject of future works. The performance of the proposed approaches is evaluated using different features, including wavelet coefficients, energy of the signals in different frequency sub-bands, and also entropy of the signals. The results obtained from real data demonstrate that the combination of energy and entropy features enable efficient classification of motor imagery EEG trials related to hand and foot movements. This underscores the relevance of the energies and their distribution in different frequency sub-bands for classifying movement-specific EEG patterns in agreement with the existence of different levels within the alpha band. The proposed approach is also shown to outperform the state-of-the-art algorithm that uses feature vectors obtained from energies of multiple spatial projections.
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Date Issued: 2015
Identifier: CFE0005882, ucf:50884
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005882

Title: The Great Mirror of Fandom: Reflections of (and on) Otaku and Fujoshi in Anime and Manga.
Creator: Graffeo, Clarissa, Jones, Anna, Oliver, Kathleen, Akita, Kimiko, University of Central Florida
Abstract / Description: The focus of this thesis is to examine representations of otaku and fujoshi (i.e., dedicated fans of pop culture) in Japanese anime and manga from 1991 until the present. I analyze how these fictional images of fans participate in larger mass media and academic discourses about otaku and fujoshi, and how even self-produced reflections of fan identity are defined by the combination of larger normative discourses and market demands. Although many scholars have addressed fan practices and...
Show moreThe focus of this thesis is to examine representations of otaku and fujoshi (i.e., dedicated fans of pop culture) in Japanese anime and manga from 1991 until the present. I analyze how these fictional images of fans participate in larger mass media and academic discourses about otaku and fujoshi, and how even self-produced reflections of fan identity are defined by the combination of larger normative discourses and market demands. Although many scholars have addressed fan practices and identities through surveys and participant observation, many of these studies work with Western groups of fans whose identities may not be consistent with those of Japanese otaku and fujoshi, and fewer studies have addressed the way these fans are reflected in the very media (anime and manga) they consume. I examine both negative and positive depictions of otaku and fujoshi, as well as the representations of fan gender identities and sexualities, across a broad range of anime and manga, including Rusanchiman (Ressentiment), Genshiken, N.H.K. ni Y?koso (Welcome to the N.H.K.), Otaku no Video, Kuragehime (Princess Jellyfish), Oreimo, and M?s? Sh?jo Otakukei (Fujoshi Rumi). The varied depictions of otaku and fujoshi in these works illustrate the tension between otaku and fujoshi identities and normative social roles, the problematic elements of identities defined through consumerism, and the complexities of the interaction between fans' fictionalized and lived desires.
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Date Issued: 2014
Identifier: CFE0005172, ucf:50663
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005172

Title: Data Representation in Machine Learning Methods with its Application to Compilation Optimization and Epitope Prediction.
Creator: Sher, Yevgeniy, Zhang, Shaojie, Dechev, Damian, Leavens, Gary, Gonzalez, Avelino, Zhi, Degui, University of Central Florida
Abstract / Description: In this dissertation we explore the application of machine learning algorithms to compilation phase order optimization, and epitope prediction. The common thread running through these two disparate domains is the type of data being dealt with. In both problem domains we are dealing with categorical data, with its representation playing a significant role in the performance of classification algorithms.We first present a neuroevolutionary approach which orders optimization phases to generate...
Show moreIn this dissertation we explore the application of machine learning algorithms to compilation phase order optimization, and epitope prediction. The common thread running through these two disparate domains is the type of data being dealt with. In both problem domains we are dealing with categorical data, with its representation playing a significant role in the performance of classification algorithms.We first present a neuroevolutionary approach which orders optimization phases to generate compiled programs with performance superior to those compiled using LLVM's -O3 optimization level. Performance improvements calculated as the speed of the compiled program's execution ranged from 27% for the ccbench program, to 40.8% for bzip2.This dissertation then explores the problem of data representation of 3D biological data, such as amino acids. A new approach for distributed representation of 3D biological data through the process of embedding is proposed and explored. Analogously to word embedding, we developed a system that uses atomic and residue coordinates to generate distributed representation for residues, which we call 3D Residue BioVectors. Preliminary results are presented which demonstrate that even the low dimensional 3D Residue BioVectors can be used to predict conformational epitopes and protein-protein interactions, with promising proficiency. The generation of such 3D BioVectors, and the proposed methodology, opens the door for substantial future improvements, and application domains.The dissertation then explores the problem domain of linear B-Cell epitope prediction. This problem domain deals with predicting epitopes based strictly on the protein sequence. We present the DRREP system, which demonstrates how an ensemble of shallow neural networks can be combined with string kernels and analytical learning algorithm to produce state of the art epitope prediction results. DRREP was tested on the SARS subsequence, the HIV, Pellequer, AntiJen datasets, and the standard SEQ194 test dataset. AUC improvements achieved over the state of the art ranged from 3% to 8%.Finally, we present the SEEP epitope classifier, which is a multi-resolution SMV ensemble based classifier which uses conjoint triad feature representation, and produces state of the art classification results. SEEP leverages the domain specific knowledge based protein sequence encoding developed within the protein-protein interaction research domain. Using an ensemble of multi-resolution SVMs, and a sliding window based pre and post processing pipeline, SEEP achieves an AUC of 91.2 on the standard SEQ194 test dataset, a 24% improvement over the state of the art.
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Date Issued: 2017
Identifier: CFE0006793, ucf:51829
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006793

Title: An Analysis of the Representation of Hispanic Students in Gifted Programs in Florida's K-12 Public Schools.
Creator: Luis, Dalena, Johnson, Jerry, Baldwin, Lee, Taylor, Rosemarye, Gill, Michele, University of Central Florida
Abstract / Description: This mixed-method study was conducted to investigate characteristics influencing the representation of Hispanic students in gifted programs across Florida K-12 school districts. Characteristics included school district enrollment, school district poverty level, school district percentage of minority students, grade level, and policies and practices relevant to gifted identification. Results showed a statistically significant positive relationship between school district enrollment and the...
Show moreThis mixed-method study was conducted to investigate characteristics influencing the representation of Hispanic students in gifted programs across Florida K-12 school districts. Characteristics included school district enrollment, school district poverty level, school district percentage of minority students, grade level, and policies and practices relevant to gifted identification. Results showed a statistically significant positive relationship between school district enrollment and the percentage of Hispanic students identified for gifted education in 2016-2017, indicating that Hispanic gifted representation was higher in Grades 6-8 than in Grades K-5 or Grades 9-12. Qualitative methods were utilized to analyze exceptional student education (ESE) policy manuals in two purposively sampled school districts and data from interviews with gifted coordinators in those same districts to determine how policies influenced school-level practices in increasing Hispanic representation in Florida's K-12 gifted programs.
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Date Issued: 2018
Identifier: CFE0007220, ucf:52231
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007220

Title: SYNTAX-BASED CONCEPT EXTRACTION FOR QUESTION ANSWERING.
Creator: Glinos, Demetrios, Gomez, Fernando, University of Central Florida
Abstract / Description: Question answering (QA) stands squarely along the path from document retrieval to text understanding. As an area of research interest, it serves as a proving ground where strategies for document processing, knowledge representation, question analysis, and answer extraction may be evaluated in real world information extraction contexts. The task is to go beyond the representation of text documents as "bags of words" or data blobs that can be scanned for keyword combinations and word...
Show moreQuestion answering (QA) stands squarely along the path from document retrieval to text understanding. As an area of research interest, it serves as a proving ground where strategies for document processing, knowledge representation, question analysis, and answer extraction may be evaluated in real world information extraction contexts. The task is to go beyond the representation of text documents as "bags of words" or data blobs that can be scanned for keyword combinations and word collocations in the manner of internet search engines. Instead, the goal is to recognize and extract the semantic content of the text, and to organize it in a manner that supports reasoning about the concepts represented. The issue presented is how to obtain and query such a structure without either a predefined set of concepts or a predefined set of relationships among concepts. This research investigates a means for acquiring from text documents both the underlying concepts and their interrelationships. Specifically, a syntax-based formalism for representing atomic propositions that are extracted from text documents is presented, together with a method for constructing a network of concept nodes for indexing such logical forms based on the discourse entities they contain. It is shown that meaningful questions can be decomposed into Boolean combinations of question patterns using the same formalism, with free variables representing the desired answers. It is further shown that this formalism can be used for robust question answering using the concept network and WordNet synonym, hypernym, hyponym, and antonym relationships. This formalism was implemented in the Semantic Extractor (SEMEX) research tool and was tested against the factoid questions from the 2005 Text Retrieval Conference (TREC), which operated upon the AQUAINT corpus of newswire documents. After adjusting for the limitations of the tool and the document set, correct answers were found for approximately fifty percent of the questions analyzed, which compares favorably with other question answering systems.
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Date Issued: 2006
Identifier: CFE0000985, ucf:46711
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000985

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