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Description
En el siglo XXI nuestra vida se está cruzando constantemente con la tecnología, tanto que algunos declaran que nuestro mundo se ha hecho posthumano, ya que no se puede separar al ser humano de la máquina. Aunque algunos se sientan amenazados por estas tecnologías, otros están abrazando la Red Mundial, aprovechándose de las infinitas oportunidades que ofrece. Uno de estos elementos fundamentales que internet posibilita es la capacidad de comunicarse directamente con otras personas. El blog por ejemplo, o bitácora en español, permite que los usuarios se proyecten a sí mismos o a sus pseudo-identidades, sus pensamientos e ideas a través del texto que escriben en internet. También sus lectores pueden responder a estos autores inmediatamente. Los posts publicados--entradas en una página web--, aunque aparecen cronológicamente, son episodios fragmentados. Pero el blog no se limita a la producción de un texto sino que el autor puede también "jugar" con el cuerpo del texto para añadir hipervínculos y multimedia. Esta forma de escribir está cambiando lo que se considera "válido" como texto, incluso lo que se considera literatura. El objetivo de este trabajo no es estudiar la literatura digital en su totalidad, sino específicamente en algunas obras escritas por mujeres en internet. Si se considera la escritura digital como una forma de arte marginalizada, se podría decir que la escritura realizada por mujeres en internet experimenta una doble-marginalidad debido al hecho de que la literatura de mujeres siempre ha sido marginal al canon. Este estudio tomará un punto de vista transatlántico, incluyendo en el mismo a varias escritoras hispanohablantes de diferentes edades, experiencias y con variados motivos en su trabajo que publican sus obras en internet. Estas autoras incluyen las blogueras Almudena Montero (española) yMaría Amelia López Soliño (española); la periodista ciudadana Yoanis Sánchez (cubana); y la poeta digital/crítica Belén Gache (española-argentina). En esta tesis he explorado y considerado la noción de que el internet sirve como un medio de democratización puesto que, hasta cierto punto, las fronteras de género y nacionalidad desaparecen. Por esta razón, este trabajo va a considerar varias teorías tales como el postmodernismo, las teorías sobre la escritura de mujeres y teorías sobre la democratización de la tecnología para analizar la literatura que se encuentra en la red. Aunque las escritoras analizadas en este proyecto son distintas, y usan la tecnología de maneras diferentes, tienen una misma meta: expresarse libremente y comunicarse directamente con sus lectores al conectarse a internet. Mi hipótesis de trabajo consiste en que estas mujeres escriben de una manera particular--es decir, que no escriben igual a los hombres que escriben en internet--y que la red ofrece una plataforma única a las mujeres: en este espacio ellas son más activas--en oposición a la literatura tradicional-- en cuanto a compartir y publicar su propio trabajo e ideas.
ContributorsByron, Jennifer E. (Author) / Urioste-Azcorra, Carmen (Thesis advisor) / Tompkins, Cynthia (Committee member) / García-Fernández, Carlos Javier (Committee member) / Arizona State University (Publisher)
Created2013
Description
The subject of this study is the work of Spanish novelist J. Á. González Sainz, comprised of Los encuentros (1989), Un mundo exasperado (1995), Volver al mundo (2003) y Ojos que no ven (2010). His work, which is structurally demanding, treats themes such as morality, terrorism, the nostos or return to one's homeland, and nature. He has been connected to the "dehumanized novel" of Juan Benet, though his career demonstrates an attempt to make clear references to historical reality. González Sainz has acquired a measure of prestige in the estimation of important critics. With his latest book, he has furthermore gained recognition for his moral commitment in opposing the terrorism of ETA, and his work has entered debates on current events. In my study I argue that this formally rigorous narrative has a singular capacity for political engagement. I argue that González Sainz is an example of the integration of ethics in a narrative discourse whose semantic density allows a commitment with moral conflicts. To situate it in the context of contemporary Spanish fiction, I relate Pierre Bourdieu's notion of the literary field to the proposals concerning the history of literature of Pablo Gil Casado, Gonzalo Sobejano, Ramón Buckley, Ignacio Soldevila Durante and others. I follow three lines of investigation: terrorism in literature; ethics; and the political engagement of the writer. Ethics, whose relation to literature has been studied by Zachary Newton, Wolfgang Hallet or Nina Rosenstand, has allowed the author a political engagement in opposition to terrorism in general and in particular in opposition to ETA. González Sainz exhibits an equilibrium between aesthetic and ethical values of literature. In the plural context of the latest fiction in Spain, his novels have found a place in the tradition that since the middle of the twentieth century has been characterized by a dialectic between political engagement and the autonomy of literature. The theme of ETA terrorism and his structural rigor situate González Sainz's work in a position that maintains the validity of this dialectic.
ContributorsMartín de Marcos, Gonzalo (Author) / García-Fernández, Carlos Javier (Thesis advisor) / Volek, Emil (Committee member) / Acereda, Alberto (Committee member) / Arizona State University (Publisher)
Created2012
Description
Este trabajo examina la producción literaria y cultural chicana/méxicosudoesteña de las distintas épocas coloniales del sudoeste: la época colonial española (1521-1821), la época colonial angloamericana (1848-1965) y la época poscolonial (1965-presente) para ver hasta qué punto siguen vigentes los legados coloniales dentro de un contexto contemporáneo. Avanzamos la hipótesis que, de la larga residencia histórica y geográfica de las personas hispanomexicanas en el sudoeste, se han producidos textos simbólicos donde se registran dos o más discursos residuos cuyo origen es una ideología dominante. El capítulo 1 plantea y detalla la hipótesis, reseña los numerosos estudios existentes, describe el marco teórico y da la división en capítulos. En el capítulo 2, se da de manera detallada el método crítico: la definición del colonialismo clásico según la teoría de Mario Barrera, la relación colonizador/colonizado aportada por Albert Memmi y los conceptos del tercer espacio híbrido, el mestizaje y el imaginario decolonial asociados con la época poscolonial como ofrecidos respectivamente por Homi Bhabha, Rafael Pérez-Torres y Emma Pérez. El capítulo 3 ofrece un análisis de la época colonial española vía dos obras nuevomexicanas: el poema épico Historia de la Nueva México (1610) de Gaspar Pérez de Villagrá y el drama Los comanches (c.1779) de anónimo. El capítulo 4 trata la colonización angloamericana en las obras The Squatter and the Don (1885) de María Amparo Ruiz de Burton y Dew on the Thorn (escrita en los 1940; publicada en 1997) de Jovita González de Mireles. El capítulo 5 examina la época poscolonial vía la obra Los muertos también cuentan (1995) de Miguel Méndez. Una lectura de la literatura chicana/méxicosudoesteña revela la presencia de varios personajes típicos asociados cada uno a una diferente época histórica desde el conquistador español hasta un mexicano recién inmigrado, quienes no han podido evadir la correspondiente presencia de un grupo dominante u colonizador. Con base en una investigación de las cinco obras seleccionadas, se muestra cómo las relaciones coloniales se forman y se transforman y luego se manifiestan en un contexto contemporáneo, desplazando por ende nuestro entendimiento de las relaciones coloniales como un simple proyecto binario de dominación y subordinación.
ContributorsFonseca, Vanessa (Author) / Hernández-G., Manuel De Jesús (Thesis advisor) / Rosales, Jesus (Committee member) / García-Fernández, Carlos Javier (Committee member) / Volek, Emil (Committee member) / Horan, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT Of all the writers associated with the McOndo movement, a literary movement that focuses on the reality of urban life for millions of young Latin Americans, Jorge Franco is perhaps the most distinguished. As the author of Paraíso Travel and Rosario Tijeras, Franco has expertly shown his international audience the brutal conditions under which so many residents of his birth city of Medellín, Colombia, live. In both novels the reader is introduced to a world in which various factors have set up a society characterized by victims and predators. This study will attempt to show how economics, violence, machismo, racism and class discrimination all play a role in establishing a social hierarchy that facilitates anti-social behavior, and how these social institutions perpetuate themselves to the detriment of those caught in the cycle.
ContributorsWise, Kenneth James (Author) / Volek, Emil (Thesis advisor) / Acereda, Alberto (Committee member) / García-Fernández, Carlos Javier (Committee member) / Arizona State University (Publisher)
Created2012
Description
Currently, autonomous vehicles are being evaluated by how well they interact with humans without evaluating how well humans interact with them. Since people are not going to unanimously switch over to using autonomous vehicles, attention must be given to how well these new vehicles signal intent to human drivers from the driver’s point of view. Ineffective communication will lead to unnecessary discomfort among drivers caused by an underlying uncertainty about what an autonomous vehicle is or isn’t about to do. Recent studies suggest that humans tend to fixate on areas of higher uncertainty so scenarios that have a higher number of vehicle fixations can be reasoned to be more uncertain. We provide a framework for measuring human uncertainty and use the framework to measure the effect of empathetic vs non-empathetic agents. We used a simulated driving environment to create recorded scenarios and manipulate the autonomous vehicle to include either an empathetic or non-empathetic agent. The driving interaction is composed of two vehicles approaching an uncontrolled intersection. These scenarios were played to twelve participants while their gaze was recorded to track what the participants were fixating on. The overall intent was to provide an analytical framework as a tool for evaluating autonomous driving features; and in this case, we choose to evaluate how effective it was for vehicles to have empathetic behaviors included in the autonomous vehicle decision making. A t-test analysis of the gaze indicated that empathy did not in fact reduce uncertainty although additional testing of this hypothesis will be needed due to the small sample size.
ContributorsGreenhagen, Tanner Patrick (Author) / Yang, Yezhou (Thesis director) / Jammula, Varun C (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
In the last decade, a large variety of algorithms have been developed for use in object tracking, environment mapping, and object classification. It is often difficult for beginners to fully predict the constraints that multirotors place on machine vision algorithms. The purpose of this paper is to explain some of the types of algorithms that can be applied to these aerial systems, why the constraints for these algorithms exist, and what could be done to mitigate them. This paper provides a summary of the processes involved in a popular filter-based tracking algorithm called MOSSE (Minimum Output Sum of Squared Error) and a particular implementation of SLAM (Simultaneous Localization and Mapping) called LSD SLAM.
ContributorsVan Hazel, Colton (Author) / Zhang, Wenlong (Thesis director) / Yang, Yezhou (Committee member) / Engineering Programs (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
A defense-by-randomization framework is proposed as an effective defense mechanism against different types of adversarial attacks on neural networks. Experiments were conducted by selecting a combination of differently constructed image classification neural networks to observe which combinations applied to this framework were most effective in maximizing classification accuracy. Furthermore, the reasons why particular combinations were more effective than others is explored.
ContributorsMazboudi, Yassine Ahmad (Author) / Yang, Yezhou (Thesis director) / Ren, Yi (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Propaganda bots are malicious bots on Twitter that spread divisive opinions and support political accounts. This project is based on detecting propaganda bots on Twitter using machine learning. Once I began to observe patterns within propaganda followers on Twitter, I determined that I could train algorithms to detect these bots. The paper focuses on my development and process of training classifiers and using them to create a user-facing server that performs prediction functions automatically. The learning goals of this project were detailed, the focus of which was to learn some form of machine learning architecture. I needed to learn some aspect of large data handling, as well as being able to maintain these datasets for training use. I also needed to develop a server that would execute these functionalities on command. I wanted to be able to design a full-stack system that allowed me to create every aspect of a user-facing server that can execute predictions using the classifiers that I design.
Throughout this project, I decided on a number of learning goals to consider it a success. I needed to learn how to use the supporting libraries that would help me to design this system. I also learned how to use the Twitter API, as well as create the infrastructure behind it that would allow me to collect large amounts of data for machine learning. I needed to become familiar with common machine learning libraries in Python in order to create the necessary algorithms and pipelines to make predictions based on Twitter data.
This paper details the steps and decisions needed to determine how to collect this data and apply it to machine learning algorithms. I determined how to create labelled data using pre-existing Botometer ratings, and the levels of confidence I needed to label data for training. I use the scikit-learn library to create these algorithms to best detect these bots. I used a number of pre-processing routines to refine the classifiers’ precision, including natural language processing and data analysis techniques. I eventually move to remotely-hosted versions of the system on Amazon web instances to collect larger amounts of data and train more advanced classifiers. This leads to the details of my final implementation of a user-facing server, hosted on AWS and interfacing over Gmail’s IMAP server.
The current and future development of this system is laid out. This includes more advanced classifiers, better data analysis, conversions to third party Twitter data collection systems, and user features. I detail what it is I have learned from this exercise, and what it is I hope to continue working on.
Throughout this project, I decided on a number of learning goals to consider it a success. I needed to learn how to use the supporting libraries that would help me to design this system. I also learned how to use the Twitter API, as well as create the infrastructure behind it that would allow me to collect large amounts of data for machine learning. I needed to become familiar with common machine learning libraries in Python in order to create the necessary algorithms and pipelines to make predictions based on Twitter data.
This paper details the steps and decisions needed to determine how to collect this data and apply it to machine learning algorithms. I determined how to create labelled data using pre-existing Botometer ratings, and the levels of confidence I needed to label data for training. I use the scikit-learn library to create these algorithms to best detect these bots. I used a number of pre-processing routines to refine the classifiers’ precision, including natural language processing and data analysis techniques. I eventually move to remotely-hosted versions of the system on Amazon web instances to collect larger amounts of data and train more advanced classifiers. This leads to the details of my final implementation of a user-facing server, hosted on AWS and interfacing over Gmail’s IMAP server.
The current and future development of this system is laid out. This includes more advanced classifiers, better data analysis, conversions to third party Twitter data collection systems, and user features. I detail what it is I have learned from this exercise, and what it is I hope to continue working on.
ContributorsPeterson, Austin (Author) / Yang, Yezhou (Thesis director) / Sadasivam, Aadhavan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
In the field of machine learning, reinforcement learning stands out for its ability to explore approaches to complex, high dimensional problems that outperform even expert humans. For robotic locomotion tasks reinforcement learning provides an approach to solving them without the need for unique controllers. In this thesis, two reinforcement learning algorithms, Deep Deterministic Policy Gradient and Group Factor Policy Search are compared based upon their performance in the bipedal walking environment provided by OpenAI gym. These algorithms are evaluated on their performance in the environment and their sample efficiency.
ContributorsMcDonald, Dax (Author) / Ben Amor, Heni (Thesis director) / Yang, Yezhou (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2018-12
iLieDown - Improved Display Orientation For Handheld Devices Using Convolutional Neural Networks.pdf
Description
91% of smartphone and tablet users experience a problem with their device screen being oriented the wrong way during use [11]. In [11], the authors proposed iRotate, a previous solution which uses computer vision to solve the orientation problem. We propose iLieDown, an improved method of automatically rotating smartphones, tablets, and other device displays. This paper introduces a new algorithm to correctly orient the display relative to the user’s face using a convolutional neural network (CNN). The CNN model is trained to predict the rotation of faces in various environments through data augmentation, uses a confidence threshold, and analyzes multiple images to be accurate and robust. iLieDown is battery and CPU efficient, causes no noticeable lag to the user during use, and is 6x more accurate than iRotate.
ContributorsTallman, Riley Paul (Author) / Yang, Yezhou (Thesis director) / Fang, Zhiyuan (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-12