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Filtering by: Creator Brett, M. Remove constraint Creator: Brett, M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Degree Level Master's Remove constraint Degree Level: Master's

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  • Automated model parameter extraction for noise coupling analysis in silicon substrates

    Creator:
    Peterson, Brett
    Abstract:
    An automated method, requiring the fabrication of a small set of test structures, efficiently extracts the coefficients of Z-parameter based macromodels. The extraction approach has been validated for both heavily and lightly doped substrates and can be applied to a variety of technologies. After the parameters of a macromodel have...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Brett Peterson for the degree of Master

  • Infant Hand Detection and Tracking

    Creator:
    Mishra, Shridhar
    Abstract:
    Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
    Resource Type:
    Masters Thesis

  • Counterfactual States for Atari Agents via Generative Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
    Resource Type:
    Masters Thesis
    Full Text:
    generative methods: nearest neighbors. We run our pre-trained agent for 1 million game steps, M , with

  • Incorporating labeled features into image classification using generalized expectation

    Creator:
    Moore, Travis
    Abstract:
    Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
    Resource Type:
    Masters Thesis

  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis

  • Development of zinc tin oxide-based transparent thin-film transistors

    Creator:
    Chiang, Hai Q.
    Abstract:
    The focus of this thesis involves development of highly transparent, n-channel, accumulation- mode thin-film transistors employing a zinc tin oxide (ZTO) channel layer. ZTO-based transparent thin-film transistors (TTFTs) show improved device performance compared to ZnO-based TTFTs. An estimated peak effective mobility for these devices as high as ~100 cm² V⁻¹sec⁻¹...
    Resource Type:
    Masters Thesis
    Full Text:
    -log(ND) curves generated for a ZnO TFT (Eg = 3.2 eV, m* = 0.27rno) using C1 = 4.02x108 Fcm2, NT

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.1 MSE of the confusion matrices for various values of M . . . . . . . . . . . 35 LIST OF

  • Awgsome Fault Injection: In-Depth Analysis of Waveform Generation for Voltage Glitches

    Creator:
    Lyakhov, Stanislav
    Abstract:
    Voltage fault injection is a technique to disrupt power supply, such that the data or instruction flow in a microcontroller can be modified. Recently, a new class of voltage glitches was introduced termed arbitrary wave voltage glitches. Despite its demonstrated success in practical studies it comes with additional challenges, such...
    Resource Type:
    Masters Thesis

  • FoXQ : a visual query language for XML

    Creator:
    Abraham, Robin
    Abstract:
    XML is a very versatile data format that has been used to represent many different kinds of data, including web pages, books, business and accounting data, programming interfaces, vector graphics, system logs, and games. In a short span of time, it has gained wide acceptance as the document and data...
    Resource Type:
    Masters Thesis

  • Designing bulk acoustic wave resonators for parametric amplification of spin waves

    Creator:
    Chowdhury, Pratim
    Abstract:
    Spintronics is an emerging field of research dealing with devices that can potentially exploit the additional degree of freedom provided by the electron spin along with or instead of the conventional electronic charge. One of the most promising aspects of spintronics is the potential use of magnetostatic spin waves as...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Intrinsic losses AlN 10800 - 11200 m/s 6.5 - 7 % very low ZnO 6350 m/s 8.5 - 9 % low PZT 4000 - 6000 m/s