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Filtering by: Creator Spyridakis, Dimitri E. Remove constraint Creator: Spyridakis, Dimitri E. Decade 2020-2029 Remove constraint Decade: 2020-2029 Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • A Computational Framework for Resilience-Informed Design

    Creator:
    Hulse, Daniel E.
    Abstract:
    It is desirable for complex engineered systems to perform missions efficiently and economically, even when these missions' complex, variable, long-term operational profiles make it likely for hazards to arise. It is thus important to design these systems to be resilient so that they will actively prevent and recover from hazards...
    Resource Type:
    Dissertation

  • Insights into Centennial-Scale Salt Marsh Morphodynamics from the Oregon Coast

    Creator:
    Peck, Erin K.
    Abstract:
    Quantification and comparison of morphological changes over the last ~300 y in Oregon salt marshes provide valuable insights into the tectonic, hydroclimatic, and anthropogenic processes shaping this important intertidal zone. Understanding of the rates and drivers of salt marsh change contextualizes intertidal habitats within the sediment routing system (i.e., source...
    Resource Type:
    Dissertation
    Full Text:
    ). Longitude La tit ud e -126 -124 -122 46 44 42 Columbia Tillamook Netarts Nehalem Necanicum Sand

  • Learning and Improving Policies for Probabilistic Planning Problems

    Creator:
    Issakkimuthu, Murugeswari
    Abstract:
    In this work, we study the problem of learning and improving policies for probabilistic planning problems. In the first part, we train neural network policies for probabilistic planning problems modeled as factored Markov decision problems. The objective is to train problem-specific neural networks via supervised learning to imitate the action...
    Resource Type:
    Dissertation
    Full Text:
    online lectures of Prof. Dimitri Bertsekas and Prof. Gilbert Strang at MIT. I would like to thank them

  • Ecology and Distribution of Blue Whales in New Zealand Across Spatial and Temporal Scales

    Creator:
    Barlow, Dawn R.
    Abstract:
    The distribution of mobile marine predators often reflects underlying dynamic ecological processes. The geographical focus of this PhD is the South Taranaki Bight (STB) of New Zealand, where wind-driven coastal upwelling generates productivity and prey to support a blue whale foraging ground. The STB is also New Zealand’s most industrial...
    Resource Type:
    Dissertation
    Full Text:
    accomplished thanks to the expertise of Dimitri Ponirakis, and Kristin Hodge and Bobbi Estabrook advised on

  • Applying Machine Learning Algorithms to Identify Problematic Nuclear Data within Nuclear Transport Simulations

    Creator:
    Grechanuk, Pavel A.
    Abstract:
    The primary goal of this dissertation is to improve the quality of nuclear data available to the nuclear science community. We propose to accomplish this by applying machine learning algorithms to the large number of available benchmark experiments and simulations, with the goal of determining which nuclear data have strong...
    Resource Type:
    Dissertation
    Full Text:
    Dr. Michael E. Rising for supporting me in my research pursuits no matter how out of the norm they

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    ≥ n) based on the following measurement model z = h(x) + e, (1.1) where h(·) is a nonlinear

  • The Structural Characteristics of Robustness in Large-Scale Complex Engineered Systems

    Creator:
    Walsh, Hannah S.
    Abstract:
    Modern engineered systems are increasingly integrated into society, decentralized, and interconnected. However, scale and complexity create unique challenges in system design, such as emergent behavior and unintended consequences. This work investigates the structural characteristics of robustness in complex engineered systems by identifying patterns of under-recognized vulnerabilities at various levels of...
    Resource Type:
    Dissertation

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    , region of conver- 17 F ig u re 1. 4: A n ov er v ie w of th is d is se rt at io n . T h e re se

  • Realizable Path Planning and Execution for Robotic Systems

    Creator:
    Jones, Dylan A.
    Abstract:
    Performing autonomous robotic tasks in the field, such as ocean monitoring and aerial surveillance, requires planning and executing paths in dynamic environments. In these uncertain and changing environments, it is not uncommon to see a large difference between the path planned by the robotic vehicle and the path that the...
    Resource Type:
    Dissertation

  • Coordination for Scalable Multiple Robot Planning Under Temporal Uncertainty

    Creator:
    Marcon dos Santos, Gilberto
    Abstract:
    This dissertation incorporates coalition formation and probabilistic planning towards a domain-independent automated planning solution scalable to multiple heterogeneous robots in complex domains. The first research direction investigates the effectiveness of Task Fusion and introduces heuristics that improve task allocation and result in better quality plans, while requiring lower computational cost...
    Resource Type:
    Dissertation