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Filtering by: Creator Shook, Steven R. Remove constraint Creator: Shook, Steven R. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Language English [eng] Remove constraint Language: English [eng]

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  • A novel linear generator for wave energy applications

    Creator:
    Ernst, Steven George
    Abstract:
    With the increasing effort to identify alternative methods of energy generation, extraction of ocean energy has gathered a large interest. Research and industry have begun considering wave energy as the next new alternative energy. The unique challenges of ocean energy requires a wave energy converter to be both robust and...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Steven George Ernst for

  • Electrical recommendations and formulas for metal fill in radio-frequency integrated circuits

    Creator:
    Gaskill, Steven
    Abstract:
    With increasing transistor operating frequencies, interconnects and passive devices are becoming performance limiters in integrated circuit (IC) designs. To combat this, the interconnect layers above the active silicon are trending toward low-κ dielectrics and Cu metallization. The use of these new materials has popularized chemical mechanical polishing (CMP) to planarize...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Steven Gaskill for the degree of Master

  • Advanced microarchitecture and circuit design techniques for on-chip memories in CMOS technology

    Creator:
    Hsu, Steven K.
    Abstract:
    In modern on-chip memories, an increasing demand for higher performance, lower power, reduced area, and improved robustness creates a rising need for advanced microarchitecture and circuit design techniques. Particularly in large-signal multi-ported register files, these advanced design techniques include: (i) multi-banked arrays, (ii) multi-frequency arrays, (iii) multi-bit width gating, (iv)...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Steven K

  • A domain-specific embedded language for probabilistic programming

    Creator:
    Kollmansberger, Steven
    Abstract:
    Functional programming is concerned with referential transparency, that is, given a certain function and its parameter, that the result will always be the same. However, it seems that this is violated in applications involving uncertainty, such as rolling a dice. This thesis defines the background of probabilistic programming and domain-specific...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Steven Kollmansberger for the degree of

  • Equivalent circuit modeling of on-chip magnetic devices based on terminal measurements

    Creator:
    Gaskill, Steven G.
    Abstract:
    The addition of thin-film alloy magnetic materials to integrated circuit processing enables a number of novel monolithic circuits. Examples include fully integrated magnetic field sensors, signal and power galvanic isolation circuits, and power supplies on chip (PwrSoC). There are several benefits to integrating these traditionally off-chip devices, including improved manufacturability,...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Steven G. Gaskill for the

  • Amorphous oxide semiconductor thin-film transistor ring oscillators and material assessment

    Creator:
    Sundholm, Eric Steven
    Abstract:
    Amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) constitute the central theme of this thesis. Within this theme, three primary areas of focus are pursued. The first focus is the realization of a transparent three-stage ring oscillator with buffered output and an output frequency in the megahertz range. This leads to...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Eric Steven Sundholm for the

  • The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

    Creator:
    Hill, Steven T.
    Abstract:
    Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Steven T. Hill for the degree of Master of Science in Computer Science

  • Nontraditional amorphous oxide semiconductor thin-film transistor fabrication

    Creator:
    Sundholm, Eric Steven
    Abstract:
    Fabrication techniques and process integration considerations for amorphous oxide semiconductor (AOS) thin-film transistors (TFTs) constitute the central theme of this dissertation. Within this theme three primary areas of focus are pursued. The first focus involves formulating a general framework for assessing passivation. Avoiding formation of an undesirable backside accumulation layer...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Eric Steven Sundholm for

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    mutations in the genes. They use an object detection model, faster R-CNN, to count the kernels to track the

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis
    Full Text:
    proceed my researches; Dr. Steven Strauss, who is the excellent professor from department of Forest