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Filtering by: Creator Lee, Chyuan-shen Remove constraint Creator: Lee, Chyuan-shen Decade 2020-2029 Remove constraint Decade: 2020-2029

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  • Children and Youth's Outdoor Play and Emotional Wellbeing During the COVID-19 Pandemic

    Creator:
    Gorrell, Lydia
    Abstract:
    Long-standing research has highlighted the critical role of physical and outdoor activities for children’s health and wellbeing. During the COVID-19 pandemic, children and youth around the world experienced heightened stress and poor mental health, which coincided with a decrease in active play and increase in screen-based activities. This work aims...
    Resource Type:
    Masters Thesis
    Full Text:
    . Abstract approved: ______________________________________________________ Xiangyou (Sharon) Shen

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation
    Full Text:
    Lee Autonomous robotic agents are on their way to becoming in-home personal assistants, construction

  • How crabs walk and what can robots learn from it?

    Creator:
    Shen, Nuocheng
    Abstract:
    Simulation has provided much design inspiration for the field of robotics. While many astute ideas can be computationally formulated, there are some good structures in animals that people call “biologically-inspired”. Many robots are designed based on natural creatures such as crabs, spiders, etc. Before we can take full advantage of...
    Resource Type:
    Honors College Thesis
    Full Text:
    Nuocheng Shen A THESIS submitted to Oregon State University Honors College in partial fulfillment of

  • Imepdance Sensing Techniques for Integrated Circuits Sensor Applications

    Creator:
    Shen, Boyu
    Abstract:
    Impedance measurements are increasingly demanded in modern CMOS sensing systems as impedance is the most common electrical signal obtained from sensors, delivering physical, chemical and biomedical quantity changes. Impedance sensing for wide interested frequency, broad dynamic range, and various sensor interfaces has numerous challenges, especially targeted in CMOS miniaturization with...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Boyu Shen for the

  • Explaining and Improving Neural Machine Translation

    Creator:
    Yang, Yilin
    Abstract:
    Machine Translation, the task of automatically translating between human languages has been studied for decades. This task is used to be solved by count-based statistical models, e.g. Phrase-based Statistical Machine Translation (PBSMT), which solves the translation problem by separately training a statistical language model and a translation model. Recently, Neural...
    Resource Type:
    Dissertation
    Full Text:
    : Explaining and Improving Neural Machine Translation Abstract approved: Prasad Tadepalli & Stefan Lee

  • Exploring Outlier Exposure Methods for Deep Margin-Based Anomaly Detection

    Creator:
    Noel, Thomas
    Abstract:
    In standard training regimes, one assumes that the classes presented to a model constitute all of the classes that the model will encounter when it is deployed. In real deployment scenarios, however, a model can sometimes encounter situations or objects that it has never seen. When these scenarios are safety-critical,...
    Resource Type:
    Capstone Project
    Full Text:
    Representations, 2019. [5] Yen-Chang Hsu, Yilin Shen, Hongxia Jin, and Zsolt Kira. Generalized odin: De- tecting

  • Tuning tRNA and EF-Tu for the Efficient Site-specific Incorporation of Noncanonical Amino Acids into Proteins

    Creator:
    Gottfried-Lee, Ilana L.
    Abstract:
    Genetic code expansion (GCE) is a technology that allows us to incorporate noncanonical amino acids (ncAAs) site-specifically into recombinant proteins using engineered translational machinery. Typically, an orthogonal aaRS/tRNA pair is engineered by directed evolution to recognize the ncAA and incorporate it at a reassigned codon while not interacting with the...
    Resource Type:
    Honors College Thesis
    Full Text:
    -specific Incorporation of Noncanonical Amino Acids into Proteins by Ilana Gottfried-Lee

  • Relation extraction with automatic ontonotes annotation and ETC

    Creator:
    Sauer, Andrew
    Abstract:
    Intuitively, it seems as though natural language processing tasks might benefit from explicit representations of the syntactic and semantic properties of text. Ontonotes is a dataset which attempts to annotate texts, to represent as much as possible of the meaning of the text explicitly within the annotation. Many tools exist...
    Resource Type:
    Honors College Thesis
    Full Text:
    , representing Department _____________________________________________________________________ Stefan Lee

  • Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

    Creator:
    Gaskin, Jared
    Abstract:
    In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
    Resource Type:
    Masters Thesis

  • Machine learning for computer architecture design and optimization

    Creator:
    Penney, Drew
    Abstract:
    Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
    Resource Type:
    Dissertation