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Filtering by: Creator Scrivani, James V. Remove constraint Creator: Scrivani, James V. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    thesis.dvi AN ABSTRACT OF THE THESIS OF Evgenia V. Chunikhina

  • Monte-Carlo planning for probabilistic domains

    Creator:
    Bjarnason, Ronald V.
    Abstract:
    This thesis presents a progression of novel planning algorithms that culminates in a new family of diverse Monte-Carlo methods for probabilistic planning domains. We provide a proof for performance guarantees and analyze how these algorithms can resolve some of the shortcomings of traditional probabilistic planning methods. The direct policy search...
    Resource Type:
    Dissertation
    Full Text:
    to solving the Bellman optimality equations for that MDP, which is defined as V π(s) = ∑ a π(s, a

  • Path-based dynamic impact analysis

    Creator:
    Law, James (James Bruce)
    Abstract:
    Successful software systems evolve over their lifetimes through the cumulative changes made by software maintainers. As software evolves, the problems resulting from software change worsen, exacerbated by increased system size and complexity, lack of program understanding, amount of effort required to make changes, and number of personnel involved. Experience shows...
    Resource Type:
    Dissertation
    Full Text:
    thesis.dvi AN ABSTRACT OF THE DISSERTATION OF James Lawfor the degree of

  • Ultra-low power receivers for wireless sensor networks

    Creator:
    Ayers, James S.
    Abstract:
    In wireless sensor network applications, low-power operation of the wireless receiver is critical. To address this need an ultra-low power Binary Frequency Shift Keying (BFSK) receiver using the super-regenerative architecture is developed. A prototype receiver is built and tested for operation in the 900 MHz ISM band. Lab measurements show...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF James S. Ayers for the degree

  • Optical Sensors using Biological Photonic Crystals

    Creator:
    Squire, Kenneth James
    Abstract:
    This dissertation focuses on the application of diatom frustules, the biosilica shell of an algae possessing physical and photonic properties capable of enhancing optical signals, for the enhancement of optical sensing. In this work, we incorporate diatom frustules into biosensors for signal enhancement and improved target molecule detection. The potential...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Kenneth James

  • Power reduction of MPEG video decoding for mobile multimedia systems

    Creator:
    Lewis, James M.
    Abstract:
    The purpose of this thesis is to explore methods which can reduce the power dissipation of a mobile system while decoding MPEG video. MPEG decoding is a microprocessor intensive process that makes heavy use of both the L1 and L2 caches as well as main memory. The heavy load placed...
    Resource Type:
    Masters Thesis
    Full Text:
    Microsoft Word - Thesis3 - James Lewis.doc

  • Methods for short-term prediction of wind speeds in the Pacific Northwest Columbia Gorge wind farm region

    Creator:
    Davidson, James D.
    Abstract:
    Variable electrical generation (VG) sources such as wind farms are an increasing percentage of total electrical generation in the Bonneville Power Administration (BPA) balancing area and are starting to impact the ability of the regional balancing authority to control the electric grid. Wind farms are not dispatchable and challenge historical...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF James D. Davidson for the degree of Master of Science in Electrical

  • A comparison of substrate noise coupling in heavily doped and lightly doped substrates for mixed-signal circuits

    Creator:
    Ayers, James S.
    Abstract:
    An analysis of substrate noise coupling in mixed-signal circuits has been performed in the TSMC 0.25 [mu]m lightly doped and heavily doped CMOS processes. Methods to minimize noise coupling in both the chip design and board design phases are presented along with techniques for accurate circuit simulation of noise coupling....
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF James S. Ayers for the degree of

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • Switched Capacitor Circuit Techniques for High Performance CMOS Analog Circuits

    Creator:
    Kareppagoudr, Manjunath
    Abstract:
    Switched capacitor (SC) circuits are the main building blocks in many structures such as filters, data converters, sampling circuits and sampled-data amplifiers. The key challenge is to design such circuits which are the prime components of any IoT system with low power consumption without compromising on the performance. In this...
    Resource Type:
    Dissertation
    Full Text:
    members of all the generation, Tao, Yi, Mahmoud, Pedram, Yanchao, Emanuel, Jyotindra, Alex, James