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Filtering by: Creator Ward, Jeremy W. Remove constraint Creator: Ward, Jeremy W. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Micro in-lab grid integration of a wave energy converter

    Creator:
    Okuda, Jeremy S.
    Abstract:
    Ocean wave energy has great potential to develop into a strong and reliable form of renewable energy. As the technology develops, more wave energy converters will be grid interconnected and the variable nature of the ocean will begin to influence the stability of the electrical grid system. There are many...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Jeremy S

  • Efficient Algorithms for Robust Spatiotemporal Data Analysis

    Creator:
    Moore, Travis W.
    Abstract:
    Many large-scale data analysis applications involve data that can vary over both time and space. Often the primary goal of analyzing spatiotemporal data is identifying trends, movements, and sudden changes with respect to time, location, or both. This can include a variety of applications in economics (housing prices, unemployment, job...
    Resource Type:
    Dissertation
    Full Text:
    , Max Larrivee, Jeffrey Oliver and Jeremy Kerr) and eBird (Daniel Fink, Chris Wood, and Frank La Sorte

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Robin W. Hess for the

  • A probabilistic model for anomaly detection in remote sensor streams

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
    Resource Type:
    Masters Thesis
    Full Text:
    /thesis.dvi AN ABSTRACT OF THE THESIS OF Ethan W. Dereszynski for the degree of Masters of Science in

  • Printing 3D Magnetic Composite Structures with Arbitrary Anisotropy using UV-curable Magnetic Ink

    Creator:
    Clay, Garrett
    Abstract:
    Inkjet printing offers a cost effective, highly customizable method for rapid manufacturing of functional devices with minimal material waste. Although this method has been used for a variety of composites, little work has been done in the area of 3D printing magnetic composites. Presented here is a process for inkjet...
    Resource Type:
    Masters Thesis
    Full Text:
    printing project – Han Song, Jeremy Spencer, April Fisher, Adam Fargher and Partha Paul. I would be remiss

  • AID: An automated detector for gender-inclusivity bugs in OSS project pages

    Creator:
    Chatterjee, Amreeta, Guizani, Mariam, Stevens, Catherine, Emard, Jillian, May, Mary Evelyn, Burnett, Margaret, Ahmed, Iftekhar, and Sarma, Anita
    Abstract:
    The tools and infrastructure used in tech, including Open Source Software (OSS), can embed “inclusivity bugs”—features that disproportionately disadvantage particular groups of contributors. To see whether OSS developers have existing practices to ward off such bugs, we surveyed 266 OSS developers. Our results show that a majority (77%) of developers...
    Resource Type:
    Conference Proceeding
    Full Text:
    practices to ward off such bugs, we surveyed 266 OSS developers. Our results show that a majority (77%) of

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    been a great inspiration to me. I must also thank Dr. Tyler A. Hallman, Dr. W. Douglas Robinson, and

  • 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:
    billion (Ward and Shirer 2012) and the smartphone market at $157.8 billion in the same time period

  • Ultra-low power receivers for wireless sensor networks

    Creator:
    Ayers, James S.
    Abstract:
    In wireless sensor network applications, low-power operation of the wireless receiver is critical. To address this need an ultra-low power Binary Frequency Shift Keying (BFSK) receiver using the super-regenerative architecture is developed. A prototype receiver is built and tested for operation in the 900 MHz ISM band. Lab measurements show...
    Resource Type:
    Dissertation
    Full Text:
    opamps with resistive and capacitive feedback and feedfor- ward paths to realize the necessary poles and

  • A recurrent neural network implementation using the graphics processing unit

    Creator:
    Moore, Christopher
    Abstract:
    We took the back-propagation algorithms of Werbos for recurrent and feed-forward neural networks and implemented them on machines with graphics processing units (GPU). The parallelism of these units gave our implementations a 10 to 100 fold increase in speed. For nets with less than 20 neurons the machine performed faster...
    Resource Type:
    Masters Thesis
    Full Text:
    ,l w i,pi,k j,l (τ)ξ m,pm,n,pi,k s,t,l (τ) com- ponent