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Filtering by: Creator Myrold, David D. Remove constraint Creator: Myrold, David D. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Language English [eng] Remove constraint Language: English [eng]

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  • Enhanced inverse synthetic aperture radar imagery using 2-D spectral estimation

    Creator:
    Ohm, David R.
    Abstract:
    This research focused on the use of classical and modern two-dimensional spectral estimation techniques for enhancing inverse synthetic aperture radar (ISAR) imagery. 2-D Classical spectral estimation methods and 2-D modern parametric and non-parametric spectral estimation methods are applied to simulated and real data sets in order to achieve both range...
    Resource Type:
    Masters Thesis
    Full Text:
    Imagery Using 2-D Spectral Estimation by David R. Ohm A THESIS submitted to

  • A 10 bit algorithmic A/D converter for a biosensor

    Creator:
    Rengachari, Thirumalai
    Abstract:
    This thesis presents a novel algorithmic A/D converter to be used in a biosensor. The converter is capable of a conversion rate of 1.5 bits/phase and hence the required conversion time is reduced. The proposed architecture is analyzed for non-ideal effects and compared with existing algorithmic A/D architectures. The converter...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: A 10 Bit Algorithmic A/D Converter for a Bio-sensor Abstract approved: Gabor C. Temes and Un-Ku

  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ David A. Hendrix MicroRNAs are a highly conserved class of small endogenous RNA, about

  • Power Electric System Load and Generation Forecasting via ARMA, ARIMA, and K-Medoids Methods for Grid Expansion Purposes: A Comparison

    Creator:
    McLaughlin, Zachery D.
    Abstract:
    The electric power grids of countries across the globe rely on load and generation forecasting to know when, where, and how much resources need to be dispatched to sustain proper grid operation. Because of this, forecasting needs to be highly accurate to avoid unnecessary resource dispatch which can be costly....
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT OF Zachery D

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: David A. Hendrix Our goal is to build a system to model the RNA sequences that reveals

  • Process development and modeling of thin-film transistors

    Creator:
    Hong, David
    Abstract:
    A class of high-performance thin-film transistor (TFT) channel materials has emerged involving oxides composed of heavy-metal cations (HMCs) with (n-1)d¹⁰ns⁰ (n≥4) electronic configurations. This thesis is devoted to the pursuit of three topics involving the development of these materials for TFT applications: modeling TFT currentvoltage characteristics, an exploratory method for...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF David Hong for the degree of

  • The dynamic speculation and performance prediction of parallel loops

    Creator:
    Zier, David A.
    Abstract:
    General purpose computer systems have seen increased performance potential through the parallel processing capabilities of multicore processors. Yet this potential performance can only be attained through parallel applications, thus forcing software developers to rethink how everyday applications are designed. The most readily form of Thread Level Parallelism (TLP) within any...
    Resource Type:
    Dissertation
    Full Text:
    Parallel Loops AN ABSTRACT OF THE DISSERTATION OF David A. Zier for the degree of Doctor of Philosophy

  • Fabrication and characterization of thin-film transistor materials and devices

    Creator:
    Hong, David
    Abstract:
    A class of inorganic thin-film transistor (TFT) semiconductor materials has emerged involving oxides composed of post-transitional cations with (n-1)d¹⁰ns⁰ (n≥4) electronic configurations. This thesis is devoted to the pursuit of topics involving the development of these materials for TFT applications: Deposition of zinc oxide and zinc tin oxide semiconductor layers...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF David Hong for the degree of

  • Deep ultraviolet solid-state laser development

    Creator:
    Dutton, David A. (David Adam)
    Abstract:
    There is a new possibility of generating deep ultraviolet laser radiation from a solid-state source. With recent advances in material development, a new nonlinear optical crystal provides a greater damage threshold than current materials making higher conversion efficiencies possible. This thesis examines the possibility of using this crystal to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    THESIS OF David A. Dutton for the degree of Master of Science in Electrical and Computer

  • 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