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Filtering by: Creator Welch, Kevin D. Remove constraint Creator: Welch, Kevin D. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • DemoFlow: Low-Cost Flow Cytometry for Increased Access to Medical Diagnostics

    Creator:
    Stole, Kyler M.
    Abstract:
    Flow cytometry is a highly-extensible technology for performing rapid multi-parametric particle analysis. The use of flow cytometry has proliferated with the advent of smaller, intuitive, and more affordable instruments, along with a perpetual increase in research and medical applications. However, the technology is still largely inaccessible due to cost and...
    Resource Type:
    Honors College Thesis
    Full Text:
    Medical Diagnostics Abstract approved: D. Kevin McGrath Flow cytometry is a highly-extensible

  • Implementing a Linux Sysfs Interface to the VMCS

    Creator:
    Kronquist, Ian
    Abstract:
    The Virtual Machine Control Structure is an x86 hardware structure available on Intel platforms which support the VMX instruction set extensions. Developers working with Linux kernel virtualization technologies may need to alter fields in the VMCS, but the few existing tools for updating the structure are unstable or difficult to...
    Resource Type:
    Honors College Thesis
    Full Text:
    16, 2017. Title: Implementing a Linux Sysfs Interface to the VMCS Abstract approved: D. Kevin

  • EXE, an expert system shell for agricutural applications

    Creator:
    Currans, Kevin
    Abstract:
    This paper discusses the design, construction, and use of a prototype expert system shell, EXE. EXE is non-conventional in that it does not provide a traditional forward or backward chaining inference mechanism. Instead, it allows the domain expert to control the logic flow of the system in a dynamic fashion....
    Resource Type:
    Masters Thesis
    Full Text:
    " AN ABSTRACT OF THE THESIS OF Kevin G. Currans for the degree of Master of Science in Computer

  • Benchmarking and Programming Practices for the Intel Xeon Phi Coprocessor

    Creator:
    Leslie, William
    Abstract:
    The Intel Xeon Phi is a relative newcomer to the scientific computing scene. In the recent years, GPUs have been used extensively for mathematical simulations. The Xeon Phi is Intel’s response to the use of these cards. Like the GPU, it is highly parallelizable but can be programmed like a...
    Resource Type:
    Capstone Project
    Full Text:
    Kevin McGrath, who has been a boss and advisor to me throughout my studies. Kevin is the second

  • The Jetson Artificial Intelligence Tool Chain (JAI-TC)

    Creator:
    Saeedi, Behnam
    Abstract:
    The Jetson Artificial Intelligence Tool chain (JAI-TC) is a set of packages, APIs and libraries for Artificial Intelligence applications to be deployed on the NVidia SOC, Jetson TX2. JAI-TC automates the installation of these items allowing for a wider set of users to leverage these technologies. Prior to this, the...
    Resource Type:
    Capstone Project

  • A Decade of Linux Kernel Vulnerabilities, their Mitigation and Open Problems

    Creator:
    Raj, Abhilash
    Abstract:
    The aim of this thesis is to study past 10 years of security vulnerabilities reported against Linux Kernel and all existing mitigation techniques that prevent the exploitation of those vulnerabilities. To systematically study the security vulnerabilities, they were categorized into classes and sub-classes based on their type. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    have been pos- sible to finish this work without him. I would like to thank my committee members D

  • An alternative architecture for performing basic computer arithmetical operations

    Creator:
    Djang, Kevin
    Abstract:
    The arithmetic portions of almost all modern processor architectures are of very similar design. We use the term "traditional" to describe this design, the primary characteristics of which are native support for integer and floating-point number types and special disjoint instructions and hardware for each supported type. Decades of refinement...
    Resource Type:
    Masters Thesis
    Full Text:
    arithmetical operations An Abstract Of The Thesis Of Kevin Djang for the degree of Master of Science in

  • Benchmarking Linux Containers and Virtual Machines

    Creator:
    Mittal, Pranjal
    Abstract:
    In data-centers, running multiple isolated workloads while getting the most performance out of available hardware is key. For many years Virtual Machines (VMs) have been an enabler, but native containers which offer isolation similar to virtual machines while reducing overhead costs associated with emulating hardware resources have become an increasingly...
    Resource Type:
    Masters Thesis
    Full Text:
     up  an   Intel  Xeon  server  at   the   OSL   data   center.   I   am   also   thankful   to   D

  • Recurrent Neural Networks for Robotic Control of a Human-Scale Bipedal Robot

    Creator:
    Siekmann, Jonah A.
    Abstract:
    Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
    Resource Type:
    Honors College Thesis
    Full Text:
    , Committee Member, representing Mechanical, Industrial and Manufacturing Engineering Kevin Green, Committee

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    -Dimensional Reinforcement Learning with Human Feedback Abstract approved: William D. Smart Prasad Tadepalli