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Filtering by: Creator Leichti, Robert J. Remove constraint Creator: Leichti, Robert J. Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • Generalized Preconditioning to Accelerate Simulations with Large Multiphase Chemical Kinetics Models

    Creator:
    Walker, Anthony S.
    Abstract:
    Combustion emissions produced from burning real transportation fuels have many environmental impacts. However, detailed chemistry across multiple phases, time scales, and thermodynamic conditions make predicting combustion emissions challenging. Detailed modeling of the gas phase alone is prohibitively expensive, due to the large size and stiffness of the kinetic models. The...
    Resource Type:
    Dissertation
    Full Text:
    mole-based state vector and Jacobian matrix, J (S), to develop the preconditioner, P. This approximate

  • Automated Monitoring of Modular Construction Factories using Computer Vision

    Creator:
    Panahi, Roshan
    Abstract:
    Modular construction is increasingly seen as an efficient construction method in terms of time, cost, and energy. The full realization of these advantages partly relies on the efficiency of the production process inside the modular factories, which currently rely on tedious manual monitoring methods or expensive automated techniques. As a...
    Resource Type:
    Dissertation
    Full Text:
    University, particularly Dr. Robert Bertini, Dr. Shane Brown, Dr. John Gambatese, Joe Fradella, Cindy Olson

  • 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

  • Learning-based Techniques for Fast and Robust Motion Planning

    Creator:
    Chow, Scott
    Abstract:
    Motion planning is a cornerstone of autonomous robots, enabling robots to safely and efficiently perform tasks such as package delivery, infrastructure inspection, and manipulation. However, as the field of robotics matures, robotic systems are being developed that (1) are challenging to analytically model, (2) require computationally expensive model-based controllers, and...
    Resource Type:
    Dissertation
    Full Text:
    committee: Drs. Ka- gan Tumer, Cindy Grimm, Naomi T. Fitter, and Camille J. Palmer, thank you for your

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation

  • Advancing Spatial Data Engineering and Analysis: Integrative Approaches with GIS, Statistical Modelling, and Deep Learning

    Creator:
    Krivova, Maria
    Abstract:
    Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
    Resource Type:
    Dissertation
    Full Text:
    : ______________________________________________________________ Michael J. Olsen

  • Host-Induced Gene Silencing in Black Cottonwood for Control of Septoria Canker: Efficacy and Non-Target Impacts

    Creator:
    Gordon, Michael I.
    Abstract:
    Septoria canker remains the most important disease of poplars in intensively managed forest plantations. Genetic resistance has long been considered the best way to manage for this disease. Transgenic resistance mediated by RNA silencing against pathogens and pests (HIGS: host-induced gene silencing) has shown promise in other pathosystems but has...
    Resource Type:
    Dissertation

  • Multi-Dimensional Task Recognition for Human-Robot Teaming

    Creator:
    Baskaran, Prakash
    Abstract:
    Human-robot teams involve humans and robots collaborating to achieve tasks under various environmental conditions. Successful teaming requires robots to adapt autonomously in real-time to a human teammate's state. An important element of such adaptation is the ability for the robot to infer the tasks performed by their human teammates. Human-robot...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241 LIST OF VARIABLES Af The GNN fusion algorithm’s adjacency matrix. Afi,j The pearson’s

  • Multicellular monolayer’s self-organization under external stimuli

    Creator:
    Li, Guanyu
    Abstract:
    Cell signaling under external stimulation is a critical mechanism that governs many biological processes such as cell proliferation, cell migration, and cell apoptosis, etc. For multicellular organisms, the ability to synchronize heterogeneous individual cellular responses through intercellular communication is crucial to maintain normal functionality. However, even though the biological pathways...
    Resource Type:
    Dissertation

  • Semantic embodied navigation : developing agents that navigate from language and vision

    Creator:
    Krantz, Jacob
    Abstract:
    Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
    Resource Type:
    Dissertation