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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 Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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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

  • 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

  • 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

  • Comparison and impact of substrate noise due to clocked and clockless circuitry

    Creator:
    Le, Jim K.
    Abstract:
    Delay insensitive asynchronous circuitry provides significant advantages with respect to substrate noise due to localized switching. The differences between the substrate noise from NULL Convention Logic (NCL) and traditional Clocked Boolean Logic (CBL) are described and analyzed based on measured results. A test chip fabricated in the TSMC 0.25 um...
    Resource Type:
    Masters Thesis
    Full Text:
    Srinivasan, Chenggang Xu, Matt MacClary, Andrew Tabalujan, Brett Peterson, Wailang Cheong, and Jacky Wong

  • Test fixture characterization for high-frequency silicon substrate parasitic extraction

    Creator:
    Tabalujan, Andrew R.
    Abstract:
    At frequencies exceeding 1-2 GHz, the reactive nature of a silicon substrate must be accounted in the substrate network models used in substrate coupling simulation. High-frequency substrate models, containing reactive components, must be validated through high-frequency network analyzer measurements. Prior fabricated test fixtures have been modified to enable high-frequency (up...
    Resource Type:
    Masters Thesis
    Full Text:
    links with GPIB box in the lab. I would also like to thank Arthi Sundaresan, Brett Peterson, Chenggang

  • Simulation and modeling of substrate noise generation from synchronous and asynchronous digital logic circuits

    Creator:
    Hanken, Christopher
    Abstract:
    Efficient methods for simulating the substrate noise generated by complex synchronous and asynchronous digital logic circuits are presented. By simulating digital logic at the gate level, and precharacterizing the gates, the substrate noise generation can be predicted and used in a transistor level simulation of the sensitive analog blocks. This...
    Resource Type:
    Masters Thesis
    Full Text:
    , Andrew Tabalujan, Brett Peterson, Waileng Cheong, Jacky Wong, and Bob Shreeve all made working in this

  • Parametric Pumping of Spin Waves Using Acoustic Waves

    Creator:
    Chowdhury, Pratim
    Abstract:
    Spintronics is an emerging field of research wherein the electron spin instead of, or along with, the conventional electron charge may be utilized in developing next generation logic devices. One of the most promising aspects of spintronics is that information transfer may be achieved by spin waves in logic devices,...
    Resource Type:
    Dissertation
    Full Text:
    of the magnetization vector, M, as predicted by the Landau-Lifshitz-Gilbert equation

  • Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

    Creator:
    Gao, Cheng
    Abstract:
    We consider the problem of computing the cannonical polyadic decomposition (CPD) for large-scale dense tensors. This work is a combination of alternating least squares and fiber sampling. Data sparsity can be leveraged to handle large tensor CPD, but this route is not feasible for dense data. Inspired by stochastic optimization's...
    Resource Type:
    Masters Thesis
    Full Text:
    0 100 200 300 400 no. of MTTKRP computed 10-6 10-4 10-2 100 M S E BrasCPD ( = 1.5) AdaCPD

  • Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

    Creator:
    Alsulaimawi, Zahir Ahmed Hussein
    Abstract:
    Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
    Resource Type:
    Dissertation
    Full Text:
    of training iterations do 2: for k steps do • Sample minibatch of m noise samples { z(1), . . . ,z