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Filtering by: Creator El Ouahabi, A. Remove constraint Creator: El Ouahabi, A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Computationally efficient block diagonalization for downlink multiuser MIMO-OFDM systems

    Creator:
    El Amrani, Samia
    Abstract:
    One of the key challenges in downlink multiuser multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is the mitigation of the multi-access interference when different users share the same subcarriers. In this work, the block diagonalization (BD) algorithm for inter-user interference pre-cancelation is extended to MIMO-OFDM systems. However, in...
    Resource Type:
    Masters Thesis
    Full Text:
    MIMO-OFDM Systems by Samia El Amrani A THESIS submitted to Oregon State University in partial

  • Accurate and efficient simulation of synchronous digital switching noise in system on a chip

    Creator:
    Habal, Husni
    Abstract:
    A new method is presented to compress switching information in large digital circuits. This is combined with an efficient approach of generating the noise signatures of cells in a digital library that results in an accurate and efficient approach for estimating the noise generated in digital circuits. This method provides...
    Resource Type:
    Masters Thesis
    Full Text:
    and p = 6.tics. 30 EL a) 0 0 a) C,, 0z 0 0 30 20 a) 0 a- ci) CO 0z 0 0 Figure 5.3 Spice

  • A Wireless Energy Harvester for Powering Event-driven Internet-of-things Applications and Battery Charging

    Creator:
    Sadagopan, Kamala Raghavan
    Abstract:
    The need for sustainably powering unobtrusive internet-of-things applications has led to an interest in energy harvesting. Particularly, the proliferation of wireless communication and devices in the 2.4 GHz Industrial Scientific c Medical (ISM) band creates an opportunity to leverage commonly used devices for RF powering. This dissertation presents a low-quiescent-power...
    Resource Type:
    Dissertation
    Full Text:
    September 14, 2020. Title: A Wireless Energy Harvester for Powering Event-driven Internet-of-things

  • The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

    Creator:
    Hill, Steven T.
    Abstract:
    Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
    Resource Type:
    Masters Thesis
    Full Text:
    David A. Hendrix John A. Henning Hop (Humulus lupulus L. var

  • Analysis and optimal sizing of an energy storage system for wind farm applications

    Creator:
    Yen, Zuan Z.
    Abstract:
    Modern wind energy is the technology of choice with a short payback period for increasing renewable energy portfolios. Bonneville Power Administration (BPA), a United States power authority in the Pacific Northwest expects to increase their wind energy capacity from 2,000 megawatts to 6,000 megawatts within the next five years. Currently...
    Resource Type:
    Masters Thesis
    Full Text:
    e R el at iv e F re qu en cy ( 0. 25 m /s ec b in s) Turbine A, Ave5 Turbine B

  • A novel control design for a wave energy converter

    Creator:
    Schacher, Alphonse A.
    Abstract:
    Ocean wave energy is rapidly becoming a field of great interest in the world of renewable energy. Significant advancements in design and technology are being made to make wave energy a viable alternative for our growing energy demands. The two major hurdles for ocean wave energy to make a significant...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Alphonse A. Schacher for the

  • Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

    Creator:
    He, Liqiang
    Abstract:
    Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
    Resource Type:
    Masters Thesis
    Full Text:
    of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise Abstract

  • Validation of Wave Energy Converter Models and the Development of Control Strategies in WEC-Sim

    Creator:
    So, Ratanak
    Abstract:
    When the term renewable energy is mentioned in a conversation, wind, solar, and hydro energy typically come to mind. However, there is one major resource that has remained mostly untapped: wave energy. Wind and solar power technologies are well established around the world but they cannot generate electricity all the...
    Resource Type:
    Dissertation
    Full Text:
    approved: Ted K.A. Brekken When the term “renewable energy" is mentioned in a conversation, wind, solar

  • A methodology to reduce the strain on hydro turbines using advanced life extending control of multiple energy storage systems

    Creator:
    Brosig, Sean G.
    Abstract:
    Over the last 20 years, there has been rapid growth in the amount of installed wind power in the Pacific Northwest, specifically in the Columbia River Gorge. The variable and non-dispatchable nature of this resource requires that it be balanced in some form by other sources on the grid. In...
    Resource Type:
    Masters Thesis
    Full Text:
    cover the needs of a dynamic power system (Atwa, El-Saadany, Salama, & Seethapathy, 2010) (Halamay

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    : Analytical Methods for Improving Causal Inference Abstract approved: Stephen A. Ramsey Causal inference is