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Filtering by: Creator Hertz, Eric Remove constraint Creator: Hertz, Eric Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Image features and learning algorithms for biological, generic and social object recognition

    Creator:
    Zhang, Wei
    Abstract:
    Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
    Resource Type:
    Dissertation
    Full Text:
    guidance have provided the best basis for this dissertation. I am pleased to thank Professor Eric

  • A nano-power wake-up circuit for RF energy harvesting wireless sensor networks

    Creator:
    Lindsley, Christopher J.
    Abstract:
    A fully integrated CMOS latched comparator is presented for use as a wake-up circuit that is attached to an RF energy harvester in a battery free wireless sensor network. The system consumes less than 36nA static current at 20°C and dissipates 2pJ of energy per conversion. The comparator comprises of...
    Resource Type:
    Masters Thesis
    Full Text:
    , Steven Gaskill, Eric Thompson, Sebastian Bonefede, and Jared Prink were all valuable study partners as

  • Design techniques for clocking high performance signaling systems

    Creator:
    Hanumolu, Pavan Kumar
    Abstract:
    Scaling of CMOS technology has progressed relentlessly for the past several decades. In order for this unprecedented scaling to benefit the performance of large digital systems, the communication bandwidth between integrated circuits (ICs) must scale accordingly. However, interconnect technology does not scale as aggressively, making communication between chips the major...
    Resource Type:
    Dissertation
    Full Text:
    Gyu Kim, Sunwoo Kwon, Jim Le, Nema Talebbeydokhti, and Eric Vernon served as perfect tools for stress

  • Deep ultraviolet solid-state laser development

    Creator:
    Dutton, David A. (David Adam)
    Abstract:
    There is a new possibility of generating deep ultraviolet laser radiation from a solid-state source. With recent advances in material development, a new nonlinear optical crystal provides a greater damage threshold than current materials making higher conversion efficiencies possible. This thesis examines the possibility of using this crystal to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    the energy per pulse expressed in joules, and Rrepetitionrate expresses the repetition rate in hertz

  • Hybrid visualization of asymmetric tensor fields : glyphs and hyperstreamlines

    Creator:
    Palke, Darrel
    Abstract:
    Asymmetric tensor fields are useful for understanding fluid flow and solid deformation. They present new challenges, however, for traditional tensor field visualization techniques such as hyperstreamline placement and glyph packing. This is because the physical behavior of tensors inside real domains where eigenvalues are real is fundamentally different from the...
    Resource Type:
    Masters Thesis
    Full Text:
    -Based Techniques Hyperstreamline-based visualization for symmetric tensor fields is utilized by Hertz

  • Growth and characterization of zinc ferrite thin films for high frequency applications

    Creator:
    Hu, Jiqing
    Abstract:
    Ferrites have been used for various high frequency applications as bulk materials. These applications, however, are limited to large dimension devices. In this thesis, thin film ferrites were deposited from a low temperature solution-based deposition process that is suitable for micro-scale high frequency applications. The low temperature nature of this...
    Resource Type:
    Dissertation

  • Learning with Partial Supervision for Clustering and Classification

    Creator:
    Pei, Yuanli
    Abstract:
    In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
    Resource Type:
    Dissertation

  • Amorphous oxide semiconductors in circuit applications

    Creator:
    McFarlane, Brian Ross
    Abstract:
    The focus of this thesis is the investigation of thin-film transistors (TFTs) based on amorphous oxide semiconductors (AOSs) in two circuit applications. To date, circuits implemented with AOS-based TFTs have been primarily enhancement-enhancement inverters, ring oscillators based on these inverters operating at peak frequencies up to ~400 kHz, and two-transistor...
    Resource Type:
    Masters Thesis
    Full Text:
    of the research group. Notably, I would like to thank Hai Chiang, David Hong, Rick Presley, and Eric