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Filtering by: Creator Mills-Price, Michael A. Remove constraint Creator: Mills-Price, Michael A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Hybrid electric vehicle dc-bus converter harmonics

    Creator:
    Mills-Price, Michael A.
    Abstract:
    As more advanced hybrid electric vehicles begin emerging onto the commercial market, design algorithms for their control become increasingly more complicated. One major hurdle for designers is the mitigation and control of the created high frequency harmonics caused from switching the dc voltage into an ac voltage by use of...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael A. Mills-Price for

  • Use of a model predictive control framework for optimal control of grid scale electrical energy storage in conjunction with a wind farm

    Creator:
    Antonishen, Michael P.
    Abstract:
    Over the last decade, wind penetration in the Pacific Northwest has increased rapidly. The variable nature of this massive new resource has increased stress on the hydropower resource to the point where system limits are currently being reached. In order to cultivate continued growth of the wind energy industry both...
    Resource Type:
    Masters Thesis
    Full Text:
    . © Copyright by Michael P. Antonishen June 8, 2012 All Rights Reserved Use of a Model Predictive

  • Development and Experimental Hardware Validation of Novel Variable Speed Hydropower Control Schemes for Emerging Applications and Water Resource Paradigms

    Creator:
    Starrett, Michael A.
    Abstract:
    Recent opportunities for new hydropower generation in the United States have often been in non-powered dams and run-of-river type flows occurring in low-impact natural areas and unregulated conduits. At the same time, a changing water resource paradigm is challenging some existing generation in drought stricken areas where supply reservoirs behind...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael A. Starrett for the degree of Doctor of Philosophy in

  • 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:
    applications ensures that scientists are able to pay the lowest possible price for a given level of

  • Random access machine in secure multi-party computation

    Creator:
    Hu, Zhangxiang
    Abstract:
    Secure multi-party computation (MPC) is a conceptual framework in cryptography. It allows distrusting parties engage in a protocol to perform a computational task while still maintain some secure properties. Most existing approaches are required to interpret functions as a boolean circuit. With the recent state-of-art circuit garbling scheme, the performance...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: Michael J. Rosulek Secure multi-party computation (MPC) is a conceptual framework in

  • New constructions and applications for homomorphic secret sharing and function secret sharing

    Creator:
    Singh, Jaspal
    Abstract:
    A secret sharing scheme allows a dealer to distribute a secret with a set of parties, such that only a certain subset of parties can collaborate and learn the shared secret. Traditional secret sharing schemes have been used as building blocks in various subdomains of cryptography. Recently, two new extensions...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: Mike Rosulek A secret sharing scheme allows a dealer to distribute a secret with a set

  • New Approaches to Depth-Based Render Techniques Using Pixel Synchronization

    Creator:
    Pawlowski, Bryan
    Abstract:
    As the nonstop advancement of graphics hardware continues, new features are being added to the graphics pipeline on a regular basis. One of these advancements is called Pixel Synchronization, which allows a graphics programmer more power with certain types of data structures that may be accessed by multiple shader units...
    Resource Type:
    Masters Thesis
    Full Text:
    Depth-Based Render Techniques Using Pixel Synchronization Abstract approved: Michael Bailey As the

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation
    Full Text:
    attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based

  • An overview of cogeneration

    Creator:
    Holmes, Michael
    Abstract:
    This paper presents an overview of cogeneration, also known as combined heat and power (CHP). The technology of cogeneration is described and the three primary cogeneration processes are discussed. The transition between parallel operation with the utility and stand-alone operation is discussed. The trade­off between a synchronous and an induction...
    Resource Type:
    Technical Report
    Full Text:
    Electrical & Instrument Engineer with Pope & Talbot's pulp mill in Halsey, OR. From 1986 to 1988 he was a

  • Learning MDP action models via discrete mixture trees

    Creator:
    Wynkoop, Michael S.
    Abstract:
    This thesis addresses the problem of learning dynamic Bayesian network (DBN) models to support reinforcement learning. It focuses on learning regression tree models of the conditional probability distributions of the DBNs. Existing algorithms presume that the stochasticity in the domain can be modeled as a deterministic function with additive noise....
    Resource Type:
    Masters Thesis
    Full Text:
    Trees by Michael S. Wynkoop A THESIS submitted to Oregon State University in partial fulfillment