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Filtering by: Creator Lomelin-Zarate, Jose David Remove constraint Creator: Lomelin-Zarate, Jose David Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh

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  • 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...
    Resource Type:
    Dissertation
    Full Text:
    management that initially solidified my interest in fisheries economics, David Sampson for emphasizing the

  • Quantum and Classical Simulation of Electronic Transport at the Nanoscale

    Creator:
    Gruss, Daniel S.
    Abstract:
    Time-dependent electronic transport is increasingly important to the state-of-the-art device design and fabrication. The development of nanoscale sensing, the harnessing and control of structural fluctuations, and the advancement of next-generation materials all require a treatment of quantum dynamics beyond the level of traditional methods and a more nuanced approach to...
    Resource Type:
    Dissertation
    Full Text:
    committee members Ethan Minot, David Roundy, and Guenter Schneider. Fellow collaborators Kirill Velizhanin

  • Quality assessment strategies for multi-camera panorama video

    Creator:
    Leorin, Simone
    Abstract:
    New video-conference devices based on omnidirectional multi-camera systems have been emerging in the last few years. These devices require innovative and automated video quality assessment in the earlier stages of their design in order to guarantee competitive product development and quality monitoring. Current quality assessment techniques are not adequate since...
    Resource Type:
    Masters Thesis
    Full Text:
    good time together. I also wish to express my gratitude to Robert and David, friends of mine

  • 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...
    Resource Type:
    Dissertation

  • An efficient frequency controlled PFM for DC-DC converters

    Creator:
    Pai, Jeff
    Abstract:
    As more features are being integrated into mobile platforms, the demand for long battery life during standby mode has been increasing. Light load efficiency becomes one of essential features in today's DC-DC converter. The most effective method to improve light load efficiency is to operate the DC-DC converter under pulse-frequency-modulation...
    Resource Type:
    Masters Thesis

  • Design techniques for wideband low-power Delta-Sigma analog-to-digital converters

    Creator:
    Wang, Yan
    Abstract:
    Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs) are traditionally used in high quality audio systems, instrumentation and measurement (I&M) and biomedical devices. With the continued downscaling of CMOS technology, they are becoming popular in wideband applications such as wireless and wired communication systems,high-definition television and radar systems. There are two general realizations...
    Resource Type:
    Dissertation
    Full Text:
    . Matthew Miller, Dr. David Roundy and Dr. Albrecht Jander for their serving on my committee. I also

  • 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

  • Dynamic and Dual Streaming Methods for H.264 Video and Parallel Performance Modeling

    Creator:
    Johnson, Taylor N.
    Abstract:
    Traditional approaches to streaming H.264 video over a network typically rely on a single method of transport (i.e., reliable or unreliable) and/or use static values for parameters that can have a significant negative impact on the perceptual quality of the received video. This dissertation presents a dynamic method for wireless...
    Resource Type:
    Dissertation
    Full Text:
    the channel evaluation and channel selection methods presented in Chapter 3. David Zier performed the