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Filtering by: Creator Payne, Charles William Remove constraint Creator: Payne, Charles William 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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  • Structured gradient boosting

    Creator:
    Parker, Charles (Charles Lincoln)
    Abstract:
    The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
    Resource Type:
    Dissertation
    Full Text:
    /thesis parts/master-thesis.dvi AN ABSTRACT OF THE DISSERTATION OF Charles Parker for the degree of

  • 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
    Full Text:
    AN ABSTRACT OF THE THESIS OF Charles Hill for the degree of Master of Science in Computer Science

  • Sensorless Localization for Robots and Wheelchairs

    Creator:
    Subramanian, Ashwin
    Abstract:
    Despite an increase in the number of people who rely on manual wheelchairs, there are still substantial economic barriers to affordable and accessible localization systems. As a result, there is a pressing need to build a versatile yet low cost localization system for manual wheelchairs. Such systems allow users to...
    Resource Type:
    Honors College Thesis
    Full Text:
    :_____________________________________________________ William Smart Despite an increase in the number of people who rely on manual wheelchairs, there

  • 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:
    AN ABSTRACT OF THE DISSERTATION OF William Curran 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:
    William H. Dillon for the degree of Doctor of Philosophy in Computer Science presented on May 29, 2012

  • Rapid bidirectional power flow of supercapacitor bank energy storage through grid-tied inverters for improved renewables integration

    Creator:
    Bostrom, Arne
    Abstract:
    The variable output of renewables such as wind and solar causes fluctuations of power flow that can adversely affect power system operation, especially at high levels of penetration. The coordination of multiple energy storage solutions can mitigate integration challenges by providing a buffer from variable renewables. This thesis presents the...
    Resource Type:
    Masters Thesis
    Full Text:
    Arlene Swanson & Charles and Marylin Bostrom Rapid Bidirectional Power Flow of Supercapacitor

  • Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

    Creator:
    Masood, Khalid I.
    Abstract:
    The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
    Resource Type:
    Dissertation

  • A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

    Creator:
    Al-kalbani, Mohamed A.
    Abstract:
    In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
    Resource Type:
    Masters Thesis

  • Distributed temperature sensing with neodymium-doped optical fiber

    Creator:
    Lounsbury, Jimson S.
    Abstract:
    Polymer electrolyte membrane (PEM) fuel cells are being studied for use as high efficiency power plants in alternative fuel vehicles. To maintain high efficiency the operating temperatures of the membranes in these fuel cells must be closely monitored and controlled. However, the environment inside of the fuel cell is not...
    Resource Type:
    Masters Thesis

  • New Architectures and Circuits for Pushing the Dynamic Range and Multiplexing Boundaries of CMOS-Integrated Sensors

    Creator:
    Ouh, Hyunkyu
    Abstract:
    Over the last decades, CMOS-integrated sensors have made impressive progress in performance, form-factor, and energy-efficiency for various applications such as imaging, physical/chemical sensing, bio/health monitoring. In the era of the artificial intelligence (AI) and the internet-of-things (IoT), such CMOS-integrated sensors are essential for massive and comprehensive data acquisition, where sensing...
    Resource Type:
    Dissertation