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Filtering by: Creator Morelan, Ian A. Remove constraint Creator: Morelan, Ian A. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • An Exploration Into The Ever-changing Expanse of Non-periodic Tilings

    Creator:
    Tassin, Ian
    Abstract:
    This paper synthesizes various works Wang tiles up to this point, including: the reduction from the Halting Problem to Wang Tiling Problem and notions around various aspects of periodicity, including minimal period, aperiodicity, and axis-aligned periodicity. Additionally it includes new work, including: a proof that a tiling can be periodic...
    Resource Type:
    Honors College Thesis
    Full Text:
    The Ever-changing Expanse of Non-periodic Tilings by Ian Tassin A THESIS submitted to Oregon

  • Implementing a Linux Sysfs Interface to the VMCS

    Creator:
    Kronquist, Ian
    Abstract:
    The Virtual Machine Control Structure is an x86 hardware structure available on Intel platforms which support the VMX instruction set extensions. Developers working with Linux kernel virtualization technologies may need to alter fields in the VMCS, but the few existing tools for updating the structure are unstable or difficult to...
    Resource Type:
    Honors College Thesis
    Full Text:
    By Ian Kronquist A THESIS submitted to Oregon State University University Honors College in

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation
    Full Text:
    Compromise: Resilience Models, Instantiations, and Impossibilities by Ian M. McQuoid A DISSERTATION

  • On feature relevance feedback methods : incorporating labeled user features

    Creator:
    Oberst, Ian
    Abstract:
    In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature relevance feedback has the potential to dramatically increase classification performance. We review previous work on incorporating feature relevance feedback in the form of labeled features...
    Resource Type:
    Masters Thesis
    Full Text:
    Reserved On Feature Relevance Feedback Methods: Incorporating Labeled User Features by Ian Oberst A

  • Communication-Efficient Secure Two-Party Computation From Minicrypt and OT

    Creator:
    Roy, Lawrence
    Abstract:
    Secure two-party computation (2PC) is the task of performing arbitrary calculations on secret inputs provided by two parties, while maintaining secrecy if at least one party is honest. 2PC has been applied to privacy-preserving record linkage and machine learning, in areas such as medicine where maintaining privacy is crucial. One...
    Resource Type:
    Dissertation
    Full Text:
    (OT) phase. Most of these oblivious transfers can be generated with OT extension, a technique where a

  • Finite Element and Finite Difference Methods for Maxwell’s Equations in Metamaterials

    Creator:
    Stallcup, Isaac A.
    Abstract:
    In this thesis, we consider Maxwell's Equations and their numerical discretization using finite difference and finite element methods. We first describe Maxwell's equations in linear dielectrics and then present finite difference and finite element methods for this case. We then describe Maxwell's equations in linear metamaterials using the Lorentz and...
    Resource Type:
    Honors College Thesis
    Full Text:
    Equations in Metamaterials By Isaac Stallcup A THESIS submitted to Oregon State University Honors

  • Visualizing oceanographic data using a cluster of Sony Playstation2s

    Creator:
    Yoon, Irwin
    Abstract:
    A cluster of computers can be used to render large amounts of data at very high resolutions. One application of clusters is scientific visualization, which often involves the display of large data sets. This paper describes a prototype system that allows oceanographers to interactively view oceanographic data using a cluster...
    Resource Type:
    Capstone Project
    Full Text:
    Oceanographic Data Using a Cluster of Sony Playstation2s by Irwin Yoon Master of Science School of

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Doctor of Philosophy in Computer Science presented on August 28, 1998. Title: LacEDAemon: A Programming

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    : Analytical Methods for Improving Causal Inference Abstract approved: Stephen A. Ramsey Causal inference is

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Ramsey We describe a series of novel computational models, CERENKOV (Computational Elu- cidation of the