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  • Illuminating Patterns in Dark Microbial Matter: Diversity and Distribution of Fungi and Actinobacteria in Deep-sea Methane Seep Sediments

    Creator:
    Ardor Bellucci, Lila
    Abstract:
    Fungi and Actinobacteria are essential actors in global biogeochemical cycles of carbon and nutrients, and have both been recently appreciated for their roles in marine ecosystems. However, the diversity and distribution of these ubiquitous, but low-abundance microbes in deep-sea habitats remains poorly understood, particularly in chemosynthetic habitats such as methane...
    Resource Type:
    Masters Thesis
    Full Text:
    officers, crew, and operations team of the E/V Nautilus, who enabled the collection of many of the

  • Finding Submerged Sites : An Exploration of Shoreline and Environmental Change in Oregon’s Yaquina River Basin using GIS Predictive Modeling

    Creator:
    Nuss, Kathryn F.
    Abstract:
    Investigations of the Pleistocene peopling of the New World require archaeologists to establish an understanding of the paleoenvironmental conditions that would have affected early foraging peoples. Other studies have focused on the timing and route of migration and the peopling of the Americas. This project contributes to the body of...
    Resource Type:
    Masters Thesis
    Full Text:
    Davis and my committee members Drs. David Hibbs, Leah Minc, and Chris Parrish. Thank you all for your

  • Unoccupied aircraft systems in forest monitoring applications

    Creator:
    Barker, Matthew I.
    Abstract:
    In recent years, unoccupied aircraft systems (UAS) have become increasingly affordable and straightforward to incorporate in monitoring applications of forested ecosystems. This shift has facilitated interest in using these tools to monitor aspects of forest ecosystems including vegetation health, forest structure and composition, and potential habitat provided by these systems....
    Resource Type:
    Dissertation
    Full Text:
    committee members: Drs. Jonathan Burnett, Christopher Parrish, Ivan Arismendi, and Graduate Committee

  • Hyperspectral Disease Detection - Strategies Addressing Time, Space, Machine Learning, and Plant Susceptibility

    Creator:
    Haagsma, Marja
    Abstract:
    Finding trees and crops that are resistant to pathogens is key in preparing for current and future disease threats. In this dissertation, we analyzed the potential of using hyperspectral imaging (HSI) to find infection while identifying issues and strategies addressing differences over time, in spatial resolution, the application of machine...
    Resource Type:
    Dissertation
    Full Text:
    advice on data analyses. Christopher Still, Kristen M. Waring, and Richard A. Sniezko were

  • Privacy-Sensitive Robotics

    Creator:
    Rueben, Matthew R.
    Abstract:
    This dissertation focuses on personal privacy in human-robot interaction, which we call "privacy-sensitive robotics." Our understanding of "privacy" is very broad, including not just information privacy but also physical, psychological, and social privacy. We begin by surveying the scholarly literature on privacy and talking about why it applies to interactions...
    Resource Type:
    Dissertation
    Full Text:
    from the We Robot community, includ- ing Ryan Calo, Margot Kaminski, Woody Hartzog, Christopher

  • An Efficient Point Cloud Processing Framework for Terrestrial and Mobile Lidar Data via Reconstructing the Scan Pattern Grid

    Creator:
    Che, Erzhuo
    Abstract:
    Lidar (LIght Detection And Ranging) is a remote sensing technology using light in the form of a pulsed laser, which enables efficient, accurate, 3-D data acquisition of a scene. Depending on the mounting platform, lidar data acquisition can be categorized into Airborne Laser Scanning (ALS, or airborne lidar), Terrestrial Laser...
    Resource Type:
    Dissertation
    Full Text:
    thank my committee members: Drs. Chris Parrish, Mike Bailey, Yelda Turkan, and Jamon Van Den Hoek, for

  • Small Unmanned Aircraft Systems (UAS) for Engineering Inspections and Geospatial Mapping

    Creator:
    Javadnejad, Farid
    Abstract:
    Small unmanned aircraft systems (UAS) carrying consumer-grade nonmetric cameras are increasingly utilized to generate high-resolution 3D geospatial data. Low cost, ease of operation, widespread availability and low altitude maneuvering capabilities of UAS, as well as the rapid development of technology and methods, make UAS-based photogrammetry applicable to many civil engineering...
    Resource Type:
    Dissertation
    Full Text:
    Olsen, Dr. Christopher Parrish, Dr. Christopher Higgins and Richard Slocum for providing insightful

  • Analysis of Learning Schemes for Power Systems Secure Control

    Creator:
    Lassetter, Carter
    Abstract:
    As the future electrical power systems tend towards smarter and greener technology, thedeployment of self-sufficient networks, or microgrids, becomes more likely. Microgridsmay operate on their own or synchronized with the main grid, thus control methodsneed to take into account islanding and reconnecting said networks. Isolation of subnetworks may be necessary...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 6 Conclusion and Future Work 57 Bibliography 58 Appendices 66 A PSS/e Models: Generator

  • Using Point Clouds for Single Tree Forest Inventory at the Beginning and End of the Rotation

    Creator:
    Garms, Cory G.
    Abstract:
    The portability and reduced price of unmanned aerial systems (UAS) in recent years has led to a broad range of new UAS-enabled scientific inquiries, including for forestry. Small, consumer-grade UAS are advantageous for forest measurements due to their portability, ease and safety of deployment, and notably, they are currently the...
    Resource Type:
    Dissertation
    Full Text:
    . Strimbu established the research direction. For Chapter Three, Mr. Simpson and Dr. Parrish assisted with

  • Explanations and Information Foraging in Real-Time Strategy Games

    Creator:
    Penney, Sean J.
    Abstract:
    Assessing and understanding intelligent agents can be a difficult task for users who may lack an artificial intelligence (AI) background. A relatively new area, called “explainable AI,” is emerging to help address this problem, but little is known about how to present and structure information that an explanation system might...
    Resource Type:
    Masters Thesis
    Full Text:
    ” (sportscasters for “e-sports” such as RTS games) who provide an “expert supply” of explanations. In StarCraft e