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Filtering by: Creator Little, David Remove constraint Creator: Little, David Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science License All rights reserved Remove constraint License: All rights reserved

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  • 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

  • Deep Learning for Human and Biological Languages

    Creator:
    Hong, Junki
    Abstract:
    We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
    Resource Type:
    Dissertation
    Full Text:
    Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

  • 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

  • A Fully Integrated Bio-potential Low-noise Amplifier Utilizing Capacitor Multipliers

    Creator:
    Yong, OnnLim
    Abstract:
    In any biomedical signal acquisition system, a front-end amplifier is needed to amplify low amplitude bio-signals while filtering out any unwanted low-frequency artifacts. The design of low frequency poles within the sub-Hz range implies very large time-constants which goes against system integrability. In recent years, the pseudo resistor has been...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ David J. Allstot In any biomedical signal acquisition system, a front-end amplifier is

  • Type-correct changes — a safe approach to version control implementation

    Creator:
    Dagit, Jason
    Abstract:
    Ensuring correctness of real-world software applications is a challenging task. Testing can be used to find many bugs, but is typically not sufficient for proving correctness or even eliminating entire classes of bugs. However, formal proof and verification techniques tend to be very heavy weight and are simply not available...
    Resource Type:
    Masters Thesis
    Full Text:
    Implementation Abstract approved: David Roundy Martin Erwig Ensuring correctness of real-world software

  • Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

    Creator:
    Piorkowski, David
    Abstract:
    Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF David Piorkowski for the degree of Doctor of Philosophy in

  • Fabrication of a flexible glucose sensing catheter for human implantation

    Creator:
    Matthews, David J.
    Abstract:
    Flexible electronics processing techniques were applied to integrate a glucose sensor with a hormone-delivery catheter in order to create a cheap and minimally invasive method for patients with type 1 diabetes to continually monitor and control their blood sugar levels. Ultimately, this work intends to move toward the development of...
    Resource Type:
    Masters Thesis
    Full Text:
    Implantation AN ABSTRACT OF THE THESIS OF David J. Matthews for the degree of Master of

  • Shape Modeling and GPU Based Image Warping

    Creator:
    Burri, David
    Abstract:
    This project addresses the problems of manually placing facial landmarks on a portrait and finding a fast way to warp the annotated image of a face. While there are many approaches to automatically find facial landmarks, most of them provide insufficient results in uncontrolled environments. Thus I introduce a method...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT REPORT OF David Burri for the

  • 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

  • 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:
    THESIS OF David R. Ohm for the degree of Master of Science in Electrical and Computer Engineering