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Filtering by: Creator Summersett, John Steve Remove constraint Creator: Summersett, John Steve Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Amorphous oxide semiconductor thin-film transistor ring oscillators and material assessment

    Creator:
    Sundholm, Eric Steven
    Abstract:
    Amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) constitute the central theme of this thesis. Within this theme, three primary areas of focus are pursued. The first focus is the realization of a transparent three-stage ring oscillator with buffered output and an output frequency in the megahertz range. This leads to...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: John F. Wager Amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) constitute the

  • Nontraditional amorphous oxide semiconductor thin-film transistor fabrication

    Creator:
    Sundholm, Eric Steven
    Abstract:
    Fabrication techniques and process integration considerations for amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) constitute the central theme of this dissertation. Within this theme three primary areas of focus are pursued. The first focus involves formulating a general framework for assessing passivation. Avoiding formation of an undesirable backside accumulation layer...
    Resource Type:
    Dissertation
    Full Text:
    approved: John F. Wager Fabrication techniques and process integration considerations for amorphous

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis

  • Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

    Creator:
    He, Liqiang
    Abstract:
    Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
    Resource Type:
    Masters Thesis
    Full Text:
    thank my thesis committee: Prof. Thomas G. Dietterish, Prof. Amir Nayyeri and Prof. John P. Bolte, for

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation

  • 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:
    John Kilbride for their insightful comments on birds and remote sensing and for their willingness to

  • Variable sampling compensation of networked control systems with delays using neural networks

    Creator:
    Lopez-Echevarria, Daniel
    Abstract:
    In networked control systems (NCS) information or packets usually flow from a sensor or a set of sensors to a remotely located controller. Then the controller processes the received information and sends a series of control commands to the actuators through a communication network which could be either wireless or...
    Resource Type:
    Dissertation
    Full Text:
    research and stay at Oregon State University. I also want to thank Professor John Schmitt for his

  • 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

  • An ultra low power frequency reference for timekeeping applications

    Creator:
    Oporta, Hector Ivan
    Abstract:
    An ultra low power crystal oscillator that provides a frequency reference for battery powered timekeeping applications is presented. An amplitude control circuit is employed to ensure that minimum current is consumed. A subthreshold voltage regulator provides a supply voltage for the oscillator with minimum current consumption. The oscillator and regulator...
    Resource Type:
    Masters Thesis
    Full Text:
    document. Finally, I would like to thank James Ayers, Thomas Brown, Adam Heiberg, Steve Meliza, Napong

  • The sum of its parts : investigating the component pieces of GenderMag

    Creator:
    Hill, Charles
    Abstract:
    Previous work introduced the GenderMag method, a software inspection method used to help software creators identify features within their software that are not gender-inclusive. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters—it is well-known that the more diverse a group of problem-solvers, the higher the quality of...
    Resource Type:
    Masters Thesis