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Filtering by: Alternative title ssim Research note PNW-RN-526 Remove constraint Alternative title ssim: Research note PNW-RN-526 Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Vehicle routing and scheduling with delivery and installation

    Creator:
    Kim, Kyoung Cheol
    Abstract:
    For manufacturing and service industries to stay competitive in this rapidly changing, globalized world, one of the most important operations, and one that many businesses struggle to plan and manage efficiently, is material handling. There has been a large amount of research on various vehicle routing problems (VRPs) in recent...
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    Dissertation
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    to plan and manage efficiently, is material handling. There has been a large amount of research on

  • Some communication algorithms for Gaussian and Eisenstein-Jacobi networks

    Creator:
    Albader, Bader
    Abstract:
    Interconnection networks play important roles in designing high performance computers. Recently two new classes of interconnection networks based on the concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing and broadcasting algorithms for these networks are developed. Furthermore, constructing edge disjoint Hamiltonian cycles in Gaussian networks...
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    Dissertation
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    concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing

  • Channel estimation and data detection for mobile MIMO OFDM systems

    Creator:
    Gao, Jie
    Abstract:
    Designing spectral efficient, high-speed wireless links that offer high quality- of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of channel estimation and data detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over...
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    Dissertation
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    critical research and engineering chal- lenge. In this thesis, we mainly address the complexity and

  • Advances in Modeling Natural Resource Management under Uncertainty : Forest Mortality, Policy Design, and the Value of Information

    Creator:
    Sloggy, Matthew R.
    Abstract:
    Advancing the understanding of natural resource management is an important step in mitigating the effects of human activity on the environment, and ensuring efficient outcomes for many sectors of the economy. As humanity’s role in the natural world becomes better understood, the importance of interdisciplinary modeling has grown in leaps...
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    Dissertation
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    feedbacks between the natural and economic realms is crucial for developing the research agenda of

  • A remotely operated, autonomous wave energy converter system

    Creator:
    Lewis, Timothy M.
    Abstract:
    The potential for electric energy generation from ocean waves is substantial and much research is being conducted on the conversion process as a renewable, grid-connected, power source. Some of the same attributes that make wave energy harvesting attractive as a grid-connected source also make it attractive as a remote, or...
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    Dissertation
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    electric energy generation from ocean waves is substantial and much research is being conducted on the

  • A Rapid β-/γ Autoradiographic Imaging Method for Post-detonation Nuclear Forensics and Radiological Emergency Response

    Creator:
    Foley, Ari A. R.
    Abstract:
    In a radiological emergency scenario, the capability to rapidly visualize radiation emitted from debris, contamination, or absorbed in biological samples, while visualizing the non-radioactive (or “conventional” image) features within a field of view, will provide critical information to support optimization of further analysis, sample collection, and decision making. This research...
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    Dissertation
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    . This research developed and assessed a novel autoradiographic method based on electron multiplying

  • 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
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    suggestions to different topics in my research. I also had great pleasure of working with amazing members in

  • Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

    Creator:
    Li, Yunfan
    Abstract:
    The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
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    Dissertation
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    fields including designing and optimizing computer systems. Recent research, such as optimizing memory

  • Bioeconomic Simulation Modeling of Fisheries : Three Essays

    Creator:
    Cusack, Christopher Inju
    Abstract:
    Researchers rely on bioeconomic models to guide research and generate fishery management advice for commercial fisheries. Due partly to a paradigm shift towards ecosystem based fishery management, increasing complexity in the characteristics of the problems has meant that bioeconomic simulation models are becoming more prevalent in the fisheries literature. However...
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    Dissertation
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    Gilbert Sylvia Researchers rely on bioeconomic models to guide research and generate fishery

  • Co-channel Blocker and Self-Interferer Tolerant Receiver Architectures for MIMO and Full-Duplex MIMO Receivers

    Creator:
    Jain, Sanket
    Abstract:
    This research focuses on receiver architectures which enable better spectral eciency by handling blockers in the same spectral range as the signal. The presence of such blockers, without the use of blocker cancelling/ ltering techniques leads to gain compression and hence, consequent performance degradation of receivers leading to reduced spectrum...
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    Dissertation
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    MIMO Receivers Abstract approved: Arun Natarajan This research focuses on receiver architectures