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Filtering by: Creator Cummings, Oscar W. Remove constraint Creator: Cummings, Oscar 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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  • 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:
    , Linux 2017 1 only objects using it no ˜0% Oscar [20] 2017 2-3 All memory regions no 4% Table 3.3

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    among other fellow students including Karl Smeltzer, Nels Oscar, Josie Hunter, Islam Almusaly, Sheena

  • Protein secondary structure prediction using conditional random fields and profiles

    Creator:
    Shen, Rongkun
    Abstract:
    Protein secondary structure prediction plays a pivotal role in predicting protein folding in three-dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand, or random coil. This is an instance of the problem of sequential supervised learning in machine learning. This thesis describes...
    Resource Type:
    Masters Thesis
    Full Text:
    I y u y v P y u y v w X F u w X − − ∂ = = = − = = ∂ , where ( )dw X is a window in the

  • Information space mapping with adaptive multiplicatively weighted Voronoi diagrams

    Creator:
    Trubin, Stanislav I.
    Abstract:
    Traditional application of Voronoi diagrams for space partitioning creates Voronoi regions, with areas determined by the generators’ relative locations and weights. Especially in the area of information space (re)construction, however, there is a need for inverse solutions; i.e., finding weights that result in regions with predefined areas. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    Diagram (MWVD) advances the idea of a Standard Voronoi Diagram by associating a weigh w with each region

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    �t ≥ 0.5, stop and set N = t− 1. 4. Let βt = �t/(1− �t) 5. Update the weight vector: (a) wt+1i = w

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    Safety Workshop, 2022. [12] Jonas Geiping, Liam H Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Tay- lor

  • One-to-many node disjoint paths routing in generalized hypercube, dense Gaussian, and hexagonal mesh networks

    Creator:
    Alsaleh, Omar I.
    Abstract:
    Routing from a single source node to multiple destination nodes using node disjoint paths (NDP) has many important applications in parallel systems. For example, if a source node wants to send distinct messages to distinct destination nodes, then the one-to-many NDP routing is useful. Unlike parallel systems with shared-memory, each...
    Resource Type:
    Dissertation

  • 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
    Full Text:
    participants (Median: 0.45), (W = 9.5, p-value < 0.001, two-sided Wilcoxon rank-sum test). The analysis also

  • Action Segmentation with Limited Supervision

    Creator:
    Li, Jun
    Abstract:
    In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
    Resource Type:
    Dissertation
    Full Text:
    parameters, and updated refined parameters. . . . . . . . . . 70 4.13 Evaluation of ACV w/out and w

  • Exploring IMU Attitude and Position Estimation for Improved Location in Indoor Environments

    Creator:
    Zhang, Shengkai
    Abstract:
    Wearable sensors with an inertial measurement unit (IMU) are popular for indoor positioning and activity pattern detection. The IMUs can be connected to a wireless transmission module, allowing users to monitor and process motion-related parameters remotely. Because of the complexity and uncertainty of signals in indoor environments, a radio frequency...
    Resource Type:
    Masters Thesis
    Full Text:
    sensor to the ground frame, where w is the rotation around its axis in radians relative to the