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Filtering by: Creator Goffard, Joseph William Remove constraint Creator: Goffard, Joseph William Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Level Master's Remove constraint Degree Level: Master's

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  • Fiber Bragg grating-tunable diode laser

    Creator:
    Ericksen, Doug
    Abstract:
    Continuously tunable diode laser sources coupled to single-mode fiber are useful sources for fiber Bragg grating (FBG) strain sensors. This paper describes the development and fabrication of such a device. An introduction is given describing applications of tunable lasers and some of the different methods of creating a tunable diode...
    Resource Type:
    Masters Thesis
    Full Text:
    Laureate Sir William Lawrence Bragg (1890-1971). He was probably best known for his work with X-ray

  • Fluid flow on interacting, deformable surfaces

    Creator:
    Neill, Patrick
    Abstract:
    Fluid simulation is an interesting research problem with a wide range of applications including mechanical engineering, special effects in movies and games, and scientific simulation. Due to the complex nature of typical fluid flow equations, there are circumstances where a full volumetric fluid simulation may not be necessary to generate...
    Resource Type:
    Masters Thesis

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis
    Full Text:
    ; Dr. Joseph Louis, who comes form department of Civil and Construction Engineering, for his interest

  • 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:
    . Kevin McGrath, Prof. Mike Rosulek and Prof. Joseph Louis for their invaluable comments and review of

  • Classification of motion capture sequences

    Creator:
    Maniar, Dharin Haresh
    Abstract:
    Motion capture data is a digital representation of the complex temporal structure of human motion. Motion capture is widely used for data-driven animation in sports,medicine and entertainment, because of its ability to capture complex and realistic motions. Due to its efficiency and cost, methods for reusing collections of motion capture...
    Resource Type:
    Masters Thesis

  • Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

    Creator:
    Basha, Nora
    Abstract:
    Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
    Resource Type:
    Masters Thesis

  • Facilitating Code Comprehension by Annotations in Canvas-Based IDE

    Creator:
    Adeli, Marjan
    Abstract:
    Developers spend a considerable amount of time comprehending code and building accurate mental models of the code. Understanding the relationships between software features within IDEs is difficult, with information split across different visual hierarchies making navigation cumbersome. Canvas-based IDEs mitigate some of the navigation costs by allowing relevant information to...
    Resource Type:
    Masters Thesis

  • Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

    Creator:
    Xu, Xu
    Abstract:
    Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
    Resource Type:
    Masters Thesis

  • Exploring security metrics for electric grid infrastructure leveraging attack graphs

    Creator:
    Patapanchala, Panini Sai
    Abstract:
    Electric grid is a critical cyber-physical infrastructure that serves as lifeline for modern society. With the increasing trend of cyber-attacks, electric grid security has become a significant concern. Electric grid operators are working hard to reduce the risk of these attacks towards the system. Having security metrics for monitoring the...
    Resource Type:
    Masters Thesis

  • Image Based Crypto

    Creator:
    Basa, Gungor
    Abstract:
    The ability to create reproducible cryptographically secure keys from temporal environments (e.g., images) has the potential to be a contributor to effective cryptographic mechanisms. Due to the noisy nature of these environments, achieving this goal in a user friendly fashion is a very challenging task, especially since there exists a...
    Resource Type:
    Masters Thesis