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Filtering by: Creator Hoover, Mark D. Remove constraint Creator: Hoover, Mark D. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Peer Reviewed No Remove constraint Peer Reviewed: No

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  • On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

    Creator:
    Roth, Mark
    Abstract:
    This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
    Resource Type:
    Capstone Project
    Full Text:
    Clustering Algorithms in Building Species Distribution Models from Community Science Data by Mark

  • Building Self Adaptive Software Systems via Test-based Modifications

    Creator:
    Christi, Arpit M.
    Abstract:
    Building software systems that adapt to the changing environment is challenging. Developers cannot anticipate all the changes in advance, and even if they could, the effort required to handle such situations is too onerous for practical purposes. Self Adaptive Software (SAS) adapts itself as per changing environment. The area of...
    Resource Type:
    Dissertation
    Full Text:
    highly beneficial to have test suites that, at a high level, mark which functionality each test checks

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    -Dimensional Reinforcement Learning with Human Feedback Abstract approved: William D. Smart Prasad Tadepalli

  • Power system reliability and power quality assessments with grid-connected wave energy converters

    Creator:
    Boller, Michael D.
    Abstract:
    Generating abundant, renewable energy from Earth’s oceans is an attractive option for meeting increasing energy demand. Marine renewable energy also comes with the variability of renewable sources, which impact the reliability and power quality of the electrical grid. On a transmission-level, this dissertation looks at ensuring reliability of the power...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael D. Boller

  • Zonal Resource Adequacy for Voltage Control

    Creator:
    Boller, Michael D.
    Abstract:
    In a power system, operators maintain voltage stability through adequate reactive reserves. Maintaining and accessing an efficient allocation of reactive reserves is prohibitively complex because of reactive line losses, the variety of reactive resources, and either limited or variable reactive outputs from renewable sources. By clustering the system into smaller...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael D. Boller for the

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    , I want to thank Mark Abbott for supporting this work, and providing an environment in which it

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    junk mail, she typically has but one option: mark each one as junk mail in her email software. The

  • Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

    Creator:
    Liew, Ji Seok
    Abstract:
    Achieving sharpened (enhanced detail) features of a multi-dimensional data source using the linear prediction (LP) bandwidth extrapolation (BWE) technique in the transform domain is the main objective of this research. The evolution of sensor technology has provided acquisition scenarios in which the data format is inherently multi-dimensional, including hyperspectral imaging...
    Resource Type:
    Dissertation
    Full Text:
    capabilities using a novel 2-D BWE approach and its associated fast computational algorithms. Furthermore

  • Modeling architecture from photographs : an implementation of the Façade system

    Creator:
    Heath, Zach
    Abstract:
    The Façade photometric modeling system, developed by Paul E Debevec at Berkley, is capable of transforming a sparse set of camera images of an architectural scene into a photorealistic 3D model. Users define a rough model out of primitive building blocks and mark where a portion of the edges of...
    Resource Type:
    Capstone Project
    Full Text:
    Corvallis OR, 97331 Committee Dr Eric Mortensen- Major Professor Dr Bruce D' Ambrosio - Minor

  • Designing multimedia extensions for configurable processors

    Creator:
    Zier, David A.
    Abstract:
    The purpose of this thesis is to explore the design of a multimedia extension Instruction Set Architecture (ISA) for a reconfigurable processor. An Extendable Multimedia Module (EM3) was designed as an optional module for X32V. X32V is a prototype configurable processor simulator developed at Oregon State University by John Mark...
    Resource Type:
    Masters Thesis
    Full Text:
    Mark Matson and Dr. Ben Lee. The EM3 ISA uses Single-Instruction Multiple- Data (SIMD) type