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Filtering by: Creator Leavengood, Scott A. Remove constraint Creator: Leavengood, Scott A. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Building and Evaluating a Prototype Edge Computing System

    Creator:
    Bhutani, Arnav K.
    Abstract:
    As fifth generation telecommunications equipment becomes more viable and reliable, demand for high-speed, low-latency, viewpoint specific data analysis is expected to dramatically increase. Systems such as self-driving cars, traffic cameras, warehouses and other commercial buildings will be using fifth generation telecommunications to form ‘smart cities’, driving demand for the edge....
    Resource Type:
    Honors College Thesis
    Full Text:
    Building and Evaluating a Prototype Edge Computing System

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis
    Full Text:
    Media Sensors for Twitter Abstract approved: Scott P. Sanner Social media sources such as Twitter

  • A tutorial interface for a problem-solving production system

    Creator:
    Lantz, Brian Scott
    Abstract:
    The system described is an interface between a student and a problem-solving production system that solves some class of problems. Its purpose is to help a student learn some part of the realm of problem solving. As a student attempts to solve a problem the system controls the firing of...
    Resource Type:
    Masters Thesis
    Full Text:
    Brian Scott Lantz A Thesis submitted to Oregon State University in partial fulfillment of the

  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    in Distributed Data Mining. Abstract approved: Timothy A. Budd A basic tradeoff to consider when

  • Joining open source software communities: an analysis of newbies’ first interactions on project mailing lists

    Creator:
    King, Scott T.
    Abstract:
    Open source software has become a powerful force in the world of computing. While once confined to the domain of technical specialists, people of all types have begun to adopt this software – from the casual web-surfer who uses Firefox, to the professional web developer who codes in PHP or...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Scott T. King for the degree of Master of Science in Computer

  • Analysis of Bayesian anytime inference algorithms

    Creator:
    Burgess, Scott Alan
    Abstract:
    This dissertation explores and analyzes the performance of several Bayesian anytime inference algorithms for dynamic influence diagrams. These algorithms are compared on the On-Line Maintenance Agent testbed, a software artifact permitting comparison of dynamic reasoning algorithms used by an agent on a variety of simulated maintenance and monitoring tasks. Analysis...
    Resource Type:
    Dissertation
    Full Text:
    Bayesian Anytime Inference Algorithms by Scott Alan Burgess A DISSERTATION submitted to Oregon State

  • Scaling multiagent reinforcement learning

    Creator:
    Proper, Scott
    Abstract:
    Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity or "outcome space" explosion. Multiagent domains are particularly susceptible to these problems. This thesis describes ways to mitigate these curses in several different multiagent domains, including real-time delivery of products...
    Resource Type:
    Dissertation
    Full Text:
    Reinforcement Learning by Scott Proper A THESIS submitted to Oregon State University in partial

  • Modeling of Chinook Salmon Runs on the North Umpqua River

    Creator:
    Jordan, Scott
    Abstract:
    To model the behavior of the spring run Chinook salmon, we expanded the current dataset of salmon counts at the Winchester Dam, Winchester, Oregon, to include historical data from 1991 through 1997. These counts were used to identify Chinook salmon behavior that resulted in defining preferable water conditions during their...
    Resource Type:
    Research Paper and Presentation

  • Robotic path-planning through dynamic maps

    Creator:
    Bowie, Cameron Scott
    Abstract:
    Robotic global navigation is often based on the assumption that the world is static. It assumes that obstacles present in maps will be there later and new obstacles will be dealt with by a local planning algorithm. When robots interact in an environment inhabited by people, this assumption does not...
    Resource Type:
    Honors College Thesis
    Full Text:
    Reserved Robotic Path-Planning Through Dynamic Maps By Cameron Scott Bowie A THESIS submitted to

  • Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

    Creator:
    Mathew, Anju
    Abstract:
    Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
    Resource Type:
    Honors College Thesis
    Full Text:
    Efficiency of Bird Song Analysis with Machine Learning based Event Detection By Anju Mathew A THESIS