Matching Items (254)
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- All Subjects: Machine Learning
- Creators: Barrett, The Honors College
Description
Horror as a genre is often dismissed on the basis of its reliance on jump scares and adrenaline highs, but history would suggest that society is just as well reflected in horror films as in any other genre. We only truly know our own experiences in real life, but film grants us the opportunity to see the world through another’s eyes, and what a more powerful way than through the experience of fear. In order to contextualize materials for the creation of a short horror film, the first part of this paper explores horror as a genre and the roles women tend to play in horror, both in the past and the present. It also considers how society perceives threats to women and how women perceive threats to themselves. It is important to define the foundation of women in horror and understand their current role in the genre to achieve the overarching goal of making a short horror film depicting a real issue that women face. A script, a storyboard, a timeline, and other materials for such a production are included as well.
ContributorsPeterschmidt, Bailey Willow (Author) / Mack, Robert L. (Thesis director) / Cheyne, Rebekah (Committee member) / School of Film, Dance and Theatre (Contributor) / Hugh Downs School of Human Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Leveraging Machine Learning and Wireless Sensing for Robot Localization - Location Variance Analysis
Description
Object localization is used to determine the location of a device, an important aspect of applications ranging from autonomous driving to augmented reality. Commonly-used localization techniques include global positioning systems (GPS), simultaneous localization and mapping (SLAM), and positional tracking, but all of these methodologies have drawbacks, especially in high traffic indoor or urban environments. Using recent improvements in the field of machine learning, this project proposes a new method of localization using networks with several wireless transceivers and implemented without heavy computational loads or high costs. This project aims to build a proof-of-concept prototype and demonstrate that the proposed technique is feasible and accurate.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
ContributorsChang, Roger (Co-author) / Kann, Trevor (Co-author) / Alkhateeb, Ahmed (Thesis director) / Bliss, Daniel (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
At present, the vast majority of human subjects with neurological disease are still diagnosed through in-person assessments and qualitative analysis of patient data. In this paper, we propose to use Topological Data Analysis (TDA) together with machine learning tools to automate the process of Parkinson’s disease classification and severity assessment. An automated, stable, and accurate method to evaluate Parkinson’s would be significant in streamlining diagnoses of patients and providing families more time for corrective measures. We propose a methodology which incorporates TDA into analyzing Parkinson’s disease postural shifts data through the representation of persistence images. Studying the topology of a system has proven to be invariant to small changes in data and has been shown to perform well in discrimination tasks. The contributions of the paper are twofold. We propose a method to 1) classify healthy patients from those afflicted by disease and 2) diagnose the severity of disease. We explore the use of the proposed method in an application involving a Parkinson’s disease dataset comprised of healthy-elderly, healthy-young and Parkinson’s disease patients.
ContributorsRahman, Farhan Nadir (Co-author) / Nawar, Afra (Co-author) / Turaga, Pavan (Thesis director) / Krishnamurthi, Narayanan (Committee member) / Electrical Engineering Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form a dependency tree. An agent operating within these environments have access to low amounts of data about the environment before interacting with it, so it is crucial that this agent is able to effectively utilize a tree of dependencies and its environmental surroundings to make judgements about which sub-goals are most efficient to pursue at any point in time. A successful agent aims to minimizes cost when completing a given goal. A deep neural network in combination with Q-learning techniques was employed to act as the agent in this environment. This agent consistently performed better than agents using alternate models (models that used dependency tree heuristics or human-like approaches to make sub-goal oriented choices), with an average performance advantage of 33.86% (with a standard deviation of 14.69%) over the best alternate agent. This shows that machine learning techniques can be consistently employed to make goal-oriented choices within an environment with recursive sub-goal dependencies and low amounts of pre-known information.
ContributorsKoleber, Derek (Author) / Acuna, Ruben (Thesis director) / Bansal, Ajay (Committee member) / W.P. Carey School of Business (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis dives into the world of artificial intelligence by exploring the functionality of a single layer artificial neural network through a simple housing price classification example while simultaneously considering its impact from a data management perspective on both the software and hardware level. To begin this study, the universally accepted model of an artificial neuron is broken down into its key components and then analyzed for functionality by relating back to its biological counterpart. The role of a neuron is then described in the context of a neural network, with equal emphasis placed on how it individually undergoes training and then for an entire network. Using the technique of supervised learning, the neural network is trained with three main factors for housing price classification, including its total number of rooms, bathrooms, and square footage. Once trained with most of the generated data set, it is tested for accuracy by introducing the remainder of the data-set and observing how closely its computed output for each set of inputs compares to the target value. From a programming perspective, the artificial neuron is implemented in C so that it would be more closely tied to the operating system and therefore make the collected profiler data more precise during the program's execution. The program is designed to break down each stage of the neuron's training process into distinct functions. In addition to utilizing more functional code, the struct data type is used as the underlying data structure for this project to not only represent the neuron but for implementing the neuron's training and test data. Once fully trained, the neuron's test results are then graphed to visually depict how well the neuron learned from its sample training set. Finally, the profiler data is analyzed to describe how the program operated from a data management perspective on the software and hardware level.
ContributorsRichards, Nicholas Giovanni (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The SolarSPELL is an offline, ruggedized, digital library, created by Dr. Laura Hosman for the U.S. Peace Corps. It has thousands of pieces of educational content that can be accessed through a self-contained Wi-Fi hotspot on the device itself. Currently, there are more than 200 deployed in several Pacific Island nations. After visiting one of these nations, Tonga, in December of 2016, I learned that almost all of the Peace Corps volunteers stationed around the Pacific Islands suffered from a lack of resources due to a variety of reasons. While the SolarSPELL helps to remedy that, the device is lacking classroom activities and resources for creative work and educational drama. Furthermore, for many students in these environments, schools are for learning information and producing high scores on exams, not for learning about creative strengths and identity. After researching curriculum development and the use of drama in an educational setting, I compiled over 50 pieces of content to include on the SolarSPELL involving art, drama, music, movement, and most importantly, imagination. These resources will allow Peace Corps volunteers to explore additional ways to teach English in their schools, while also creating a classroom environment that allows for creative expression. All the content is compiled into one folder as "Teaching Resources", and is then broken down into seven sub- categories. In the first sub-category, Art Projects, there is a collection of several hands-on projects, many of which involve recyclable or readily available materials. These projects will allow for a greater understanding of conservation and "green" living, concepts that are crucial to the stability of these island nations. The next 5 categories are Drama Readings, Music, Movement, and Video, Group Exercises, Creative Writing, and Worksheets. The second sub- category is a collection of beginner-level "Reader's Theater" scripts. The third sub-category involves music and video to engage students in movement activities. The fourth sub-category is a compilation of group games and activities to help students express themselves and learn social skills. The fifth sub-category includes a collection of activities such as fill-in-the-blank story worksheets and journal prompts which will aid in creative thinking and the practice of the English language. The sixth sub-category involves a collection of worksheets that mainly focus on self-reflection and identity. The seventh and final sub-category, Content Guide and Information, works to explain the benefits of using of drama and creative play in the classroom, as well as strategies teachers can implement in order to further engage their students in dramatic learning and play. Overall, these pieces of content are meant to be used as resources for the Peace Corps volunteers in order to provide alternative ways to practice reading, writing, and speaking the English language, a critical part of education in the Pacific Islands.
ContributorsTaylor, Amanda Nicole (Author) / Hosman, Laura (Thesis director) / McAvoy, Mary (Committee member) / School of Film, Dance and Theatre (Contributor) / Division of Teacher Preparation (Contributor) / Barrett, The Honors College (Contributor) / School for the Future of Innovation in Society (Contributor)
Created2017-12
Description
My name is Adriana Becerra and I am a student at the Walter Cronkite School of Journalism and Mass Communication at Arizona State University. In hoping to combine my two passions of journalism and film, for my Honors Undergraduate Thesis project I created my own film review website. My website is a complete review of the films that were nominated for the 2015 Oscars in the following categories: Best Picture, Animated Feature, Documentary Feature, Foreign Language, and Short Film Live Action. In all, I watched and reviewed a total of twenty-eight films based on acting, lighting, music, cinematography, costume/makeup/set design, writing, and visual effects. Over the course of nine months, I have watched, reviewed, and talked extensively about each film that I have reviewed. Though tedious at times, I thoroughly enjoyed completing my Undergraduate Thesis Project. I hope to continue critically looking at films, and possibly even incorporating film in my journalistic career.
ContributorsBecerra, Adriana Justina (Author) / Dodge, Nancie (Thesis director) / Russell, Dennis (Committee member) / School of Politics and Global Studies (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Fringe: Abstract Fringe is a feature length screenplay and a work of original science fiction. The story takes place in the future, on a planet far from Earth but it is told from the human perspective and is meant to draw into question many issues present in society today: prejudice, hatred, multiculturalism, war, and social division. The screenplay seeks to pose an allegorical relationship between the humanity living on the planet, and the enemies they face, and the present day conflict between America and the Middle East or ISIS. The story follows Miles as he is forced to ally with his sworn enemy, the Lue, and learn to fight together to save his world from destruction. Miles begins the film bitter, resentful, and filled with prejudice towards his foes, much like a majority of Americans today. Instead of focussing on that conflict though, my story unites these two bitter enemies and asks them to put aside their violent and hateful pasts to fight a new, more powerful foe together. As the events unfold my characters learn that their enemies can be just like them and that they have something valuable to offer their world. My screenplay is about finding commonality with the enemy, on both sides of a conflict. By the end of my tale, Miles learns that there is good to be found in the world, even in his sworn enemies, if he looks close enough. It may seem like an archetypal plot on the surface but I worked hard to create a world that has not been seen in film before, an original science fiction universe that can bring these issues into the light and entertain an audience while doing so. I feel that my screenplay does just that, offering entertainment with and edge of social commentary, and stays true to the science fiction form.
ContributorsTrcic, Colton Walker (Author) / Maday, Gregory (Thesis director) / Bernstein, Gregory (Committee member) / WPC Graduate Programs (Contributor) / W. P. Carey School of Business (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
"The Reality of Imagination" is short animated film about a young girl name Isabel who, with her sketchbook and box of crayons, demonstrates the power of imagination through her drawings. From her own bedroom, her simple sketches transform into more complicated, realistic drawings, bringing her artistic creation to life. From a bouncing red ball, to flying on a plane, to a thunderstorm, her world extends beyond her sketchbook. The overall message is to demonstrate the importance of art and the power of imagination, especially seen from the perspective of a young child where much of that development is evident. In addition, further exploration of the film industry and learning about the production process was conducted to continue exercising my interest for film editing and graphic designing. This involved devising the script, selecting the appropriate actors, planning the production set, purchasing the tools and equipment, putting together a production crew, and applying the concepts learned about editing to create a short film that was approximately 3 minutes long. The editing software application used for this production was Final Cut Pro X distributed by Apple while the camera used was a Canon EOS Rebel T6. At least three different editing techniques were applied in the film and included stop-motion, keying, and split-screening. Furthermore, other concepts such as transforming and resizing video clips were applied along with learning to use the audio and visual effect resources available from Final Cut Pro X to enhance the quality of the film. An in-depth analysis of the entire process is also given in detailed.
ContributorsReyes, Diana (Author) / Ganssle, Gene (Thesis director) / Giner, Oscar (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Over the course of my undergraduate experience, I have grown significantly as an artist - developing an assortment of strengths in a variety of cinematic disciplines ranging from screenwriting and producing to post-production and cinematography. All the while, I have been giving back to the Sun Devil community by serving in a number of leadership positions around campus which exposed me to a plethora of communities differ from my own. The combination of these experiences allows me to continuously explore new passions in synergy with my art. Two of these standing as the concept of live performance and the work of William Shakespeare. Through this exploration of artistic synergy, I have experimented with integrating the works of the Bard of Avon into the realm of cinema. From the beginning of 2105, I have been drafting a feature-length screenplay which serves as a quasi-prequel to Shakespeare's The Tempest. Under the title of A Kingdom or a Cure, it tells the story of the revolutionary war-hero Miguel Prosperiti as he struggles to save his daughter form a mysterious disease which has baffled the best medical minds while the country he has rebuilt comes crumbling down in post-apocalyptic Italy. Deposed and left to die at the hands of his brother, Miguel must defend his child from the evil witch Sycorax who attempts to kill the pair in order to feed off of their suffering and prolong her own life. Serving to fill the requirements for the Film and Media Production Capstone, A Kingdom or a Cure reimagines the world of Shakespeare's play and creates a new context for the words and actions of its leading characters. Such stands as the foundation of what I have created for what I have created as my applied project - a stylistic re-imagining of William Shakespeare's The Tempest which draws from multiple interpretations of the narrative to be performed as a piece within a larger theatrical presentation staged with only the classical techniques which stand contemporary to the Bard of Avon. The remainder of this document shall lie in six primary sections. The first two establish the project and detail its evolution over the course of the thesis process. Next stands as the production log which chronicles my journey over the Classical and Poetic Drama course as well as the rehearsal process for Mythfest and the Chaucer Festival. Fourth shall consist of a bibliography of all the texts which I have worked with over the course of this thesis experience. Fifth rests A Kingdom or a Cure - the screenplay which inspired me to embark on the grand journey which this thesis has taken me. Sixth shall assume the form of the PowerPoint Presentation which I presented at my thesis defense which contains a collection of images which have provided me with artistic inspiration throughout the thesis process. In conjunction with one another, these pieces serve as the written elements of my applied project.
ContributorsArcaro, Michael Anthony (Author) / Giner, Oscar (Thesis director) / Eckard, Bonnie (Committee member) / WPC Graduate Programs (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05