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

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  • On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

    Creator:
    Roth, Mark
    Abstract:
    This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
    Resource Type:
    Capstone Project
    Full Text:
    Clustering Algorithms in Building Species Distribution Models from Community Science Data by Mark

  • Energy efficient communication across on-chip wires in digital CMOS

    Creator:
    Postman, Jacob
    Abstract:
    For the past half century, CMOS process scaling has followed Moore's law, approximately doubling transistor density every 18 months. While locally routed wires have generally scaled with transistor size, longer wires have scaled at a slower rate and in some cases have grown larger as chip size and complexity have...
    Resource Type:
    Dissertation
    Full Text:
    and Leslie and Mark Workman in particular for their generous financial support. As a new graduate

  • Initial state estimation for a gun launched projectile in a spatially varying magnetic field

    Creator:
    Chawla, Feni
    Abstract:
    Smart weapons promise to provide leap ahead capability with regard to accuracy and engagement range for medium and large caliber projectiles. One of the most critical components of a smart weapon system is its sensor suite that provides position, orientation, and velocity information as the projectile flies down range so...
    Resource Type:
    Masters Thesis
    Full Text:
    INITIAL STATE ESTIMATION FOR A GUN LAUNCHED PROJECTILE IN A SPATIALLY

  • Dual referencing guidelines to minimize power delivery noise coupling

    Creator:
    Mark, Shannon
    Abstract:
    Dual referencing has been garnering a lot of attention in the power integrity community, specifically in the voltage mode driver application because it shows a lower overall power delivery noise (PDN) compared to other signal referencing types. Additionally, the increasing push to drive down package and board manufacturing costs is...
    Resource Type:
    Masters Thesis
    Full Text:
    coupling. by Shannon Mark A THESIS Submitted to Oregon State University

  • Designing multimedia extensions for configurable processors

    Creator:
    Zier, David A.
    Abstract:
    The purpose of this thesis is to explore the design of a multimedia extension Instruction Set Architecture (ISA) for a reconfigurable processor. An Extendable Multimedia Module (EM3) was designed as an optional module for X32V. X32V is a prototype configurable processor simulator developed at Oregon State University by John Mark...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF David A. Zier for the degree of

  • 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:
    Title: Distributed OpenCL: A platform for Distributed, Heterogeneous Computing for Domain Scientists

  • A data-driven model of pedestrian movement

    Creator:
    Casburn, Ledah
    Abstract:
    This thesis presents a model for simulating individual pedestrian motion based on empirical data. The model keeps track of a pedestrian’s position, orientation, and body configuration and leverages motion capture data to generate plausible motion. Our model can automatically incorporate a pedestrian’s physical limitations when making movement decisions, since it...
    Resource Type:
    Masters Thesis
    Full Text:
    of Science in Computer Science presented on June 14, 2006. Title: A Data-Driven Model of Pedestrian

  • 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

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Ramsey We describe a series of novel computational models, CERENKOV (Computational Elu- cidation of 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