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Filtering by: Creator Hall, Kim M. Remove constraint Creator: Hall, Kim M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • 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:
    29, 2021. Title: Secure Data Analytics under Data Integrity Attacks Abstract approved: Jinsub Kim

  • 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:
    AN ABSTRACT OF THE THESIS OF Inyong Kim for the degree

  • New Techniques for Multi-Channel Biosignal Acquisition and Low-Power, Low-Resistance-Measurement Systems

    Creator:
    Kim, Jinyong
    Abstract:
    Dense electrical recording of biosignals has been developed to provide spatial resolution and precise temporal information for health monitoring, diagnostics, and clinical research. However, more electrodes require more wires, and wiring density quickly becomes a limiting factor. To break this bottleneck, we proposed a frequency-division multiplexing (FDM) based architecture for...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jinyong Kim for the

  • Power Network Parameter Correction via Sparse Unsupervised Regression

    Creator:
    Senaratne, Galpottage Dilan S.
    Abstract:
    Accurate information of power network parameters is essential for performing various power system monitoring and control tasks including state estimation, economic dispatch, and contingency analysis. In this paper, we present a novel approach of power network parameter correction wherein we exploit the sparse nature of parameter errors. Parameter error correction...
    Resource Type:
    Masters Thesis
    Full Text:
    : Jinsub Kim Accurate information of power network parameters is essential for performing various power

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    : Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation Abstract approved: Jinsub Kim

  • Coupled Compressive Sensing : Sequential Reinforcement Approach

    Creator:
    De Silva, Shashini A.
    Abstract:
    We consider multiple Compressive Sensing (CS) problems wherein the supports of signal vectors of CS problems are restricted to satisfy a collection of joint logical constraints, which we refer to as coupling constraints. We consider a case where the coupling constraints are encoded in a graph and present a sequential...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: Coupled Compressive Sensing : Sequential Reinforcement Approach Abstract approved: Jinsub Kim

  • Effectiveness of using two and three-parameter distributions in place of "best-fit distributions" in discrete event simulation models of production lines

    Creator:
    Sharma, Akash
    Abstract:
    This study presents the results of using common two or three-parameter "default" distributions in place of "best fit distributions" in simulations of serial production lines with finite buffers and blocking. The default distributions used instead of the best-fit distribution are chosen such that they are non-negative, unbounded, and can match...
    Resource Type:
    Masters Thesis
    Full Text:
    Event Simulation Models of Production Lines. Abstract approved: David S. Kim This study presents the

  • Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

    Creator:
    Anand, Yashwanthi
    Abstract:
    When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
    Resource Type:
    Masters Thesis
    Full Text:
    Jinsub Kim When a single object is captured by multiple edge devices, the data captured by every edge

  • Foreground signature extraction for a non-linear hyperspectral mixing model

    Creator:
    Hollis, Jarrod
    Abstract:
    Hyperspectral images consist of intensity measurements associated with a large number of EM wavelengths per pixel. When a pixel contains a single material, the measurements of the pixel match the spectral signature of the material. When multiple materials are present in a single pixel, spectral mixing occurs, and signatures of...
    Resource Type:
    Masters Thesis
    Full Text:
    : Raviv Raich Jinsub Kim Hyperspectral images consist of intensity measurements associated with a large

  • Analysis of Learning Schemes for Power Systems Secure Control

    Creator:
    Lassetter, Carter
    Abstract:
    As the future electrical power systems tend towards smarter and greener technology, thedeployment of self-sufficient networks, or microgrids, becomes more likely. Microgridsmay operate on their own or synchronized with the main grid, thus control methodsneed to take into account islanding and reconnecting said networks. Isolation of subnetworks may be necessary...
    Resource Type:
    Masters Thesis
    Full Text:
    Jinsub Kim As the future electrical power systems tend towards smarter and greener technology, the