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Filtering by: Creator Schlauch, Karen A. Remove constraint Creator: Schlauch, Karen A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Hardware and software methods to improve and accelerate the development cycle of wave energy converters

    Creator:
    Tavakoli, Mike
    Abstract:
    With the ever-increasing demand and competition for global energy resources among nations, it is essential to explore and tap into various energy sources to reduce dependency on global markets. Renewable energy sources offer a significant opportunity to create localized and stable energy supplies. Ocean wave energy can be a promising...
    Resource Type:
    Masters Thesis
    Full Text:
    dependency on global markets. Renewable energy sources offer a significant opportunity to create localized

  • Methods for short-term prediction of wind speeds in the Pacific Northwest Columbia Gorge wind farm region

    Creator:
    Davidson, James D.
    Abstract:
    Variable electrical generation (VG) sources such as wind farms are an increasing percentage of total electrical generation in the Bonneville Power Administration (BPA) balancing area and are starting to impact the ability of the regional balancing authority to control the electric grid. Wind farms are not dispatchable and challenge historical...
    Resource Type:
    Masters Thesis
    Full Text:
    short-term is defined as a one hour prediction horizon. It is shown that, using the available

  • A methodology to reduce the strain on hydro turbines using advanced life extending control of multiple energy storage systems

    Creator:
    Brosig, Sean G.
    Abstract:
    Over the last 20 years, there has been rapid growth in the amount of installed wind power in the Pacific Northwest, specifically in the Columbia River Gorge. The variable and non-dispatchable nature of this resource requires that it be balanced in some form by other sources on the grid. In...
    Resource Type:
    Masters Thesis
    Full Text:
    A Methodology to Reduce the Strain on Hydro Turbines Using

  • Involving older adults in the design and development of free/open source software

    Creator:
    Davidson, Jennifer L.
    Abstract:
    An age-wave is upon us where many older adults are reaching retirement. Technically experienced older adults have skills that could be directly applied to free/open source software (FOSS) communities, such as project management, programming, and/or knowledge of a rapidly growing end-user population. FOSS is a widely popular, low-cost way to...
    Resource Type:
    Dissertation
    Full Text:
     project  management,   programming,  and/or  knowledge  of  a rapidly  growing  end-­‐‑user  population

  • Atomic Layer Deposition of Multi-Insulator Metal-Insulator-Metal Capacitors

    Creator:
    Austin, Dustin Z.
    Abstract:
    Back end of line (BEOL) metal-insulator-metal capacitors (MIMCAPs) have become a core passive component in modern integrated circuits. International Technology Roadmap for Semiconductors (ITRS) projections for scaling of analog/mixed-signal MIMCAP applications require simultaneously increasing capacitance density while maintaining low leakage current density and low voltage nonlinearity (characterized by the quadratic...
    Resource Type:
    Dissertation
    Full Text:
    become a core passive component in modern integrated circuits. International Technology Roadmap for

  • Learning ranking functions for efficient search

    Creator:
    Xu, Yuehua
    Abstract:
    This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...
    Resource Type:
    Dissertation
    Full Text:
    is to induce a linear ranking function for guiding the search that performs nearly as well as

  • Automated verilog-to-layout synthesis of ADCs using custom analog cells

    Creator:
    Waters, Allen
    Abstract:
    A procedure for automating the design and layout of analog-to-digital converters (ADCs) is presented. This procedure makes use of the existing synthesis and place-and-route tools that are common in digital circuit design. A method for adding rudimentary analog cells to the standard library is described, allowing the designer to synthesize...
    Resource Type:
    Dissertation
    Full Text:
    : Automated Verilog-to-Layout Synthesis of ADCs Using Custom Analog Cells. Abstract approved: Un-Ku Moon A

  • 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

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    : Rebecca A. Hutchinson Ecological domains seeking to understand the environment and the behavior of

  • 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