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Filtering by: Creator Henderson%2C E. P. %28Eric P.%29 Remove constraint Creator: Henderson%2C E. P. %28Eric P.%29 Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Immune radio architecture for platform interference

    Creator:
    Alban, Eduardo
    Abstract:
    The decrease of switching times accompanied by the corresponding increase of clock speeds and data rates, contributes to improve the overall system computational performance. At the same time, they also affect wireless communications due to an increment in the emissions of electromagnetic radiation on the radio bands. In this dissertation...
    Resource Type:
    Dissertation
    Full Text:
    equiprobable probabilities p = q, it follows that S ′i(f) = Si(f)− Ap2 ( tf ( 1− e−2ifπtr ) − tr ( 1− e

  • Manufacture and characterization of novel ACTFEL materials and devices

    Creator:
    Bender, Jeffrey P.
    Abstract:
    The aim of this dissertation is to develop non-traditional approaches to alternating-current thin-film electroluminescent (ACTFEL) device fabrication. ACTFEL technology suffers from a lack of adequately bright and efficient primary-color phosphors and cannot presently compete in the low-cost display market. Therefore the research presented in this dissertation focuses on an exploration...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jeffrey P. Bender for the

  • Multiple Instance Multiple Label Learning with Limited Supervision

    Creator:
    Nguyen, Tam
    Abstract:
    In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . 19 2.3.2 M-step . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.3.3 E-Step

  • Design and Analysis of Free-space Optical Communications Systems for Next Generation Short-range Wireless Networks

    Creator:
    Liverman, Spencer
    Abstract:
    This dissertation focuses on indoor free-space optical communications systems for use in short range wireless networks. We propose that current radio frequency wireless links be augmented or replaced with optical frequency links due to overcrowding in the radio frequency spectrum. Optical frequencies contain hundreds of terahertz of unregulated bandwidth and...
    Resource Type:
    Dissertation
    Full Text:
    the optical fall time with sweep out transistors included, (c) normalized frequency response 29

  • High efficiency wideband low-power delta-sigma modulators

    Creator:
    Lee, Sang Hyeon
    Abstract:
    Delta-sigma analog-to-digital converters traditionally have been used for low speed, high resolution applications such as measurements, sensors, voice and audio systems. Through continued device scaling in CMOS technology and architectural and circuit level design innovations, they have even become popular for wideband, high dynamic range applications such as wired and...
    Resource Type:
    Dissertation
    Full Text:
    Electrical and Computer Engineering presented on May 29, 2012. Title: High Efficiency Wideband

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    William H. Dillon for the degree of Doctor of Philosophy in Computer Science presented on May 29, 2012

  • Sliding Mode Control of Oscillating Water Column Wave Energy Converters

    Creator:
    Brown, Danielle R.
    Abstract:
    This thesis concerns the development of a direct torque control strategy using a sliding mode control approach to optimize the power output of an oscillating water column (OWC) wave energy converter (WEC). The OWC WEC is a device that has a submerged vertical tail tube open at both ends, which...
    Resource Type:
    Masters Thesis
    Full Text:
    ) is such that |ieq| ≤ ξ(t, e) and β is a design parameter. Equation 3.23 can 29 now be rewritten

  • Multiple Nonlinear Model Predictive Control for a Six-body System Oscillating Water Column Wave Energy Converters Array

    Creator:
    Xu, Zhicheng
    Abstract:
    This research presents the design of three nonlinear model predictive controllers (NMPCs) for floating oscillating water column (OWC) wave energy converters (WECs) array to maximize generated power, augmented with the control of the high-speed stop valves (HSSVs). Key to this design is the development of a high-fidelity discretized model for...
    Resource Type:
    Masters Thesis
    Full Text:
    expressed in matrix form as F E = " F E b F E p # = " A 1 bb ⌘̈ +Bbb⌘̇ + kb⌘ A 1 pp⌘̈ +Bpp⌘̇ + kp

  • Compensation method of the excess loop delay in continuous-time delta-sigma ADCs based on model matching approach

    Creator:
    Guo, Jia
    Abstract:
    Continues-Time (CT) Delta-Sigma (ΔΣ) Analog-to-Digital Converters (ADCs) have one important constrain, namely the excess loop delay. Most previous excess lop delay compensation methods need to know the exact value of the excess loop delay in advance. However, the value of the excess loop delay is a uniformly distribution random variable....
    Resource Type:
    Masters Thesis
    Full Text:
    : Mario E. Magaña

  • Creating, Understanding and Applying Machine Learning Models of Multiple Species

    Creator:
    Griffioen, Arwen Twinkle E.
    Abstract:
    Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...
    Resource Type:
    Dissertation
    Full Text:
    Arwen Twinkle E. Griffioen for the degree of Doctor of Philosophy in Computer Science presented on