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Filtering by: Creator Irving, David C. Remove constraint Creator: Irving, David C. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Pedestrian distraction : pedestrian behaviors at midblock crossings considering geometric and environmental conditions

    Creator:
    Kautz, Julia Anne
    Abstract:
    Pedestrian distraction at roadway crossings has been correlated with a higher risk of pedestrian-vehicle collisions due to the pedestrian's cognitive, visual, and motor attention being drawn to a wide variety of secondary tasks. This study is different from previous field studies of pedestrian midblock crossings in that the geometric layout...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ David S. Hurwitz Pedestrian distraction at roadway crossings has been correlated with a

  • OME : A Framework for Running Spatially Explicit System Dynamics Models

    Creator:
    Wingo, Patrick C.
    Abstract:
    The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
    Resource Type:
    Masters Thesis
    Full Text:
    Dynamics Models AN ABSTRACT OF THE THESIS OF Patrick C. Wingo for the degree of

  • A Distributed Scheme for Accelerating and Scaling PSPNet

    Creator:
    Krishna, Ajay
    Abstract:
    Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
    Resource Type:
    Masters Thesis
    Full Text:
    thesis committee, Dr. Prasad Tadepalli and Dr. David Roundy, for their insightful comments and timely

  • Long Wave Amplification in a Coral-Reef Lagoon

    Creator:
    Bheeroo, Vivek Anand
    Abstract:
    A series of laboratory experiments were conducted to study the wave field in the inner lagoon excited by ‘long’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength with factors of 1, 2 and 2.5 times the width of the reef respectively. The...
    Resource Type:
    Masters Thesis
    Full Text:
    ’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength

  • Calibrating the highway safety manual predictive methods for Oregon rural state highways

    Creator:
    Xie, Fei
    Abstract:
    The first edition of the Highway Safety Manual (HSM) provides a quantitative approach to predict the safety of transportation facilities based on the recently developed scientific methods. This approach, known as the predictive method, was developed for several states in the United States. Due to differences in driver population, weather...
    Resource Type:
    Masters Thesis
    Full Text:
    predictive models to local conditions, the next step is to apply the calibration factor, C

  • Object highlighting : real-time boundary detection using a Bayesian network

    Creator:
    Jia, Jin
    Abstract:
    Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
    Resource Type:
    Masters Thesis
    Full Text:
    thank Professor Ron Metoyer, Professor Prasad Tadepalli and Professor David Birkes for being on my

  • Event detection with forward-backward recurrent neural networks

    Creator:
    Ghaeini, Mohammad Reza
    Abstract:
    Automatic event extraction from natural text is an important and challenging task for natural language understanding. Traditional event detection methods heavily rely on manually engineered rich features. Recent deep learning approaches alleviate this problem by automatic feature engineering. But such efforts, like tradition methods, have so far only focused on...
    Resource Type:
    Masters Thesis
    Full Text:
    event detection tasks. c©Copyright by Mohammad Reza Ghaeini May 12, 2017 All Rights Reserved

  • Feedback-Based Random Test Generator for TSTL

    Creator:
    Kaneoka, Kazuki
    Abstract:
    Software testing is the process of evaluating the accuracy and performance of software, and automated software testing allows programmers to develop software more efficiently by decreasing testing costs. We compared two advanced random test generators, a Feedback-Directed Random Test Generator (FDR) and a Feedback-Controlled Random Test Generator (FCR), for an...
    Resource Type:
    Capstone Project
    Full Text:
    (𝑃𝑂𝑂𝐿) = ∑ 𝑢𝑛𝑖𝑞𝑢𝑒𝑛𝑒𝑠𝑠(𝑐, 𝑃𝑂𝑂𝐿)𝑐∈𝑐𝑜𝑣𝑒𝑟𝑎𝑔𝑒(𝑃𝑂𝑂𝐿) |𝑐𝑜𝑣𝑒𝑟𝑎𝑔𝑒(𝑃𝑂𝑂𝐿

  • Using Change Representations to Analyze Properties of Variational Software

    Creator:
    Wang, Xiangyu
    Abstract:
    Appropriate representations of variational software simplify the analysis of their properties.This thesis proposes tailored representations of two kinds variational softwares: difference files of merge commits in Git and feature models. For the former, we use the Choice Edit Model, which is based on the choice calculus, to represent changes introduced...
    Resource Type:
    Masters Thesis
    Full Text:
    effectively. c©Copyright by Xiangyu Wang Jan 05, 2017 All Rights Reserved Using Change Representations

  • Learning-based Control of Experimental Hybrid Fuel Cell Power Plant

    Creator:
    Gabler, Andrew
    Abstract:
    Direct red Solid Oxide Fuel Cell (SOFC) Turbine hybrid plants have the potential to dramatically increase power plant efficiency, decrease emissions, and provide fast response to transient loads. The US Department of Energy's (DOE) Hybrid Performance Project is an experimental hybrid SOFC plant, built at the National Energy Technology Laboratory...
    Resource Type:
    Masters Thesis
    Full Text:
    the plant for high efficiency operation. c©Copyright by Andrew Gabler June 17, 2015 All Rights