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Filtering by: Creator Schorr, G. S. Remove constraint Creator: Schorr, G. S. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Investigating Time-Digital-Converters for Hardware Security in FPGAs

    Creator:
    Lytikov, Daniil
    Abstract:
    In this comprehensive thesis, we present a series of experiments and findings that highlight the critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary calibration tests. We then delve into the Peak-to-Peak tests, which...
    Resource Type:
    Masters Thesis
    Full Text:
    , implements FSM Calibration Algorithm f Sensor operates as a resiever in covert comunication g To calibrate

  • 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:
    magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic

  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation
    Full Text:
    3.2 The T at stage s enhances features of a query video segment X (s) i based on compressed

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation
    Full Text:
    participant TU5’s session of Tool Intervention Study . . . . . . . . . . . . . . . . . . . 101 6.5 Percentile

  • On a Topological Criterion for the Construction of Higher Arity Metrics

    Creator:
    Barkan, Willow
    Abstract:
    Metric spaces (X, d) are ubiquitous objects in mathematics and computer science that are able to capture pairwise distance relationships d(x, y) between points x, y ∈ X. Because of this, it is natural to ask what useful generalizations there are of metric spaces for capturing “k-wise distance relationships” d(x1,...
    Resource Type:
    Masters Thesis
    Full Text:
    vertex set X where the weight of edge (x, y) is d(x, y). (G is the graph representation of (X, d).)Let s

  • A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations

    Creator:
    Aghasi, Allreza, Ral, Arun, and Xla, Yusen
    Abstract:
    Given the abundance of images related to operations that are being captured and stored, it behooves firms to innovate systems using image processing to improve operational performance that refers to any activity that can save labor cost. In this paper, we use deep learning techniques, combined with classic image/signal processing...
    Resource Type:
    Article
    Full Text:
    (online) https://pubsonline.informs.org/journal/ijoc D ow nl oa de d fr om in fo rm s. or g by

  • Highly-Integrated Low-Power RF Receivers for Distributed Sensing and IoT Devices

    Creator:
    Bialek, Hayden
    Abstract:
    Low-power receivers (RX) with 100$\mu W$-scale power consumption can enable several power/energy-constrained IoT applications. However, achieving sensitivity, interferer tolerance and wide operating range with low power presents a challenge for existing architectures, particularly those constrained to highly integrated solutions without high-Q off-chip components. Existing solutions rely heavily on high quality...
    Resource Type:
    Dissertation
    Full Text:
    -86dBm sensitivity for 10kb/s data rate and up to -40dB signal-to-interferer ratio (SIR) with 171µW

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    impacted their perception of the AI’s fairness. Similarly, Millecamp et al.’s work [30] found that diverse

  • Engineering Student Perspectives of a New Required Programming Course

    Creator:
    Garcia Ramirez, Jessica
    Abstract:
    We present student perceptions of a new first-year engineering programming class that was designed by informed research practices. While the College of Engineering at Oregon State University saw a lot of major switching in the first year, there were not many students switching into computer science (CS). This could have...
    Resource Type:
    Masters Thesis

  • 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:
    = 4 s, (b) Tp = 8 s, and (c) Tp = 12 s. 47 4.5 Simulation results of the accumulative energy