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Filtering by: Contributor Noller, Jay S. Remove constraint Contributor: Noller, Jay S. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • A Benchmarking Study of Unsupervised Anomaly Detection Algorithms

    Creator:
    Emmott, Andrew F.
    Abstract:
    It is common practice in the unsupervised anomaly detection literature to create experimental benchmarks by sampling from existing supervised learning datasets. We seek to improve this practice by identifying four dimensions important to real-world anomaly detection applications --- point difficulty, clusteredness of anomalies, relevance of features, and relative frequency of...
    Resource Type:
    Masters Thesis

  • 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:
    number C V SS S co re s Distribution of CVSS Figure 1.2: Relative distribution of Common

  • A Novel CCRW Receiver with Variable Width Window for Mitigating Multipath and Ambiguity in GNSS Positioning

    Creator:
    Alhussein, Fahad
    Abstract:
    This work presents a novel CCRW receiver that utilizes a window of variable width, for e˙ectively mitigating multipath and ambiguity in both civil and military positioning applica-tions using Global Navigation Satellite Systems (GNSS). This CCRW receiver incorporates a single stroboscopic window, whose width is iteratively reduced until the e˙ect of...
    Resource Type:
    Dissertation
    Full Text:
    procedure a discriminator curve (S-curve) is constructed based on that correlation, and the travel time

  • Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

    Creator:
    Aziere, Nicolas
    Abstract:
    This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
    Resource Type:
    Dissertation
    Full Text:
    3.2 The T at stage s enhances features of a query video segment X (s) i based on compressed

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . 26 3.1 The average results over 10 runs on six datasets with query size s and label set size L

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    S. suis, 43.8% of the 36mer Illumina reads in the data set matched perfectly to the reference genome

  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    distribution P (V |S) of a set of sen- sors given the states of all of the sensors and simultaneously infers

  • Architecture design of multiplexed incremental analog-to-digital converters

    Creator:
    Zhang, Zhiqing
    Abstract:
    Analog-to-Digital Data Converters (ADCs) used in instrumentation and measurements often require high absolute accuracy, including excellent linearity and negligible dc offset. Incremental data converters (IDCs) provide a solution for such measurement applications. Since IDCs are essentially delta-sigma converters with reset operation before each conversion, they retain most of the advantages...
    Resource Type:
    Masters Thesis
    Full Text:
    work. I also would like to thank my colleagues at Broadcom Corp, Jan McKenzie, Jay Ackerman, Eric

  • Architectures and algorithms for dynamic overlay networks

    Creator:
    Abdelwahab, Sherif
    Abstract:
    Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
    Resource Type:
    Dissertation
    Full Text:
    s if s ∈ Dv, (b):Alternating graph with two strongly connected components. Edges crossing the

  • Assessing mental workload and situation awareness in the evaluation of real-time, critical user interfaces

    Creator:
    Strawn, Jordan J.
    Abstract:
    While there are many ways to evaluate a user interface design, the user's mental workload and situation awareness (SA) are particularly important considerations in the supervisory control of safety-critical systems. Typically, operators of these systems must monitor high-volume, time-sensitive status information. Interface design for this domain can be challenging and...
    Resource Type:
    Masters Thesis
    Full Text:
    and Performance Lab kindly demonstrated EEG data collection and analysis. Jay Penry of the OSU Dept