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Filtering by: Academic Affiliation Nuclear Science and Engineering Remove constraint Academic Affiliation: Nuclear Science and Engineering Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv

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  • A Direction-Sensitive Radiation Detector for Low-Altitude, UAV-based Radiological Source Search

    Creator:
    Becker, Eric M. (Eric Matthew)
    Abstract:
    Many devices and methods for radiological searches are currently being developed, including scanning using simple detectors, mapping using large-volume detectors, and Compton imaging using 3-D position sensitive detectors. However, these devices are typically expensive and the methods used require long periods of time to generate a direction or location. The...
    Resource Type:
    Dissertation
    Full Text:
    Health Physics Head of the School of Nuclear Science and Engineering Dean of the Graduate School

  • The MiniSpec : a low-cost, compact, FPGA-based gamma spectrometer for mobile applications

    Creator:
    Becker, Eric M.
    Abstract:
    There is a significant role in emergency response and personal radiation safety that can be played by a compact radiation detector that is capable of identifying radionuclides. Herein is described the design, construction, and characterization of a small, low-cost, low-power gamma ray spectrometer prototype intended to fill this role, conducted...
    Resource Type:
    Masters Thesis
    Full Text:
    Health Physics Head of the Department of Nuclear Engineering and Radiation Health

  • 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
    Full Text:
    Electrical and Computer Engineering Head of the School of Electrical Engineering and Computer Science Dean

  • Modeling of Wave Energy Converter via Instantaneous Frequency

    Creator:
    Kim, Inyong
    Abstract:
    A multidisciplinary perspective is necessitated for the analysis of wave energy conversion systems, spanning hydrodynamics, mechanics, electric power, and control systems. The complexity inherent in these scientific domains poses challenges for unified analysis. This paper addresses these challenges by connecting various domains through the application of circuit theory, characterizing the...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Electrical and Computer Engineering presented on December 6, 2023. Title

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    : Major Professor, representing Computer Science Head of the School of Electrical Engineering and

  • Secure Data Analytics under Data Integrity Attacks

    Creator:
    De Silva, Shashini A.
    Abstract:
    There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
    Resource Type:
    Dissertation
    Full Text:
    Engineering and Computer Science Dean of the Graduate School I understand that my dissertation will become

  • Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

    Creator:
    George, Damon A.
    Abstract:
    Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
    Resource Type:
    Masters Thesis
    Full Text:
    , representing Computer Science Head of the School of Electrical Engineering and Computer Science Dean of the

  • Kalman Filter Tracking for an FSO Communication System based on Dynamic Beam Steering and Shaping

    Creator:
    Bouchard, Luc F.
    Abstract:
    We present a theoretical free-space optical (FSO) transmitter that utilizes a dynamically steered and shaped laser beam to communicate with a randomly moving receiver adorned with a retroreflector. The transmitter tracks the receiver's position by repeatedly scanning the field of view (FOV), measuring reflections from the retroreflector, and estimating the...
    Resource Type:
    Masters Thesis
    Full Text:
    Computer Science Head of the School of Electrical Engineering and Computer Science Dean of the Graduate

  • Sensor Interface Circuit Design towards CMOS Scaling

    Creator:
    Liu, Jialin
    Abstract:
    Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
    Resource Type:
    Dissertation
    Full Text:
    for the degree of Doctor of Philosophy in Electrical and Computer Engineering presented on May 18

  • Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

    Creator:
    Sylwester, Sean T.
    Abstract:
    Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...
    Resource Type:
    Masters Thesis
    Full Text:
    of Master of Science in Electrical and Computer Engineering presented on December 7, 2020. Title