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Filtering by: Creator Datin, Peter L. Remove constraint Creator: Datin, Peter L. Decade 2020-2029 Remove constraint Decade: 2020-2029 Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • Sensor Interface Circuit Design towards CMOS Scaling

    Creator:
    Liu, Jialin
    Abstract:
    Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
    Resource Type:
    Dissertation
    Full Text:
    Raviv Raich, Professor Matthew L. Johnston, and Professor Megumi Kawasaki for all the help, support

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    FIGURES Figure Page 3.1 Normalized MSE of the proposed state estimator versus L. For each L, total 500

  • 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:
    , and its true risk w.r.t. P is R( f ) , EP(X ,Y )[L( f (x),y)], where L : Y ×Y → R is a given loss

  • The sexualization of women in modern film trailers

    Creator:
    Loiselle, Sierra
    Abstract:
    Previous research has shown that women are increasingly sexualized in a variety of media contexts. I conducted a content analysis of film trailers from 2018 and 2019 to examine the relationship between the sexualization and objectification of female-presenting characters to the popularity of the film and its trailer. A random...
    Resource Type:
    Honors College Thesis

  • Leveraging transformer encoder output for effective token summary in simultaneous translation

    Creator:
    Raffel, Matthew
    Abstract:
    Simultaneous speech-to-text translation remains a difficult yet important problem for modern machine learning models whereby a text translation is generated concurrently with receiving partial speech inputs. One state-of-the-art simultaneous speech-to-text model is the augmented memory transformer whose encoder breaks a speech input into fixed-size overlapping segments composed of left, right,...
    Resource Type:
    Honors College Thesis
    Full Text:
    concatenation of a center context Cn, a left context Ln, and a right context Rn of sizes c, l, and r

  • Network Traffic-Driven Hybrid Learning for Classifying Seen and Unseen IoT Device Types

    Creator:
    Bao, Jiaqi
    Abstract:
    IoT networks can be viewed as collections of Internet-enabled physical devices and objects, embedded with sensor, actuator, computation, storage and communication components, that are capable of connecting and exchanging data to one another. In recent years, organizations have allowed more and more IoT devices to be connected to their networks,...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.1 The confusion matrix with L=2 . . . . . . . . . . . . . . . . . . . . . . . . 22 5.2 The

  • Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

    Creator:
    Lassetter, Austin R.
    Abstract:
    This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
    Resource Type:
    Masters Thesis
    Full Text:
    : L = KE · E−CE (2.1) where L is the insulation life, E is a given electrical stress, and KE and CE

  • Applications of Magnetic Materials in Soft Robotics

    Creator:
    Davis, William M.
    Abstract:
    Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...
    Resource Type:
    Capstone Project
    Full Text:
    2 2 [ 1 [(𝑧 − 𝑙 2) 2 + 𝑅2] 3 2 + 1 [(𝑧 + 𝑙 2) 2 + 𝑅2] 3 2 ] (6) Equation 6 [87

  • Silicon Microring Resonator Driven by High-Mobility Conductive Oxide Capacitor

    Creator:
    Hsu, Wei-Che
    Abstract:
    Silicon photonics has rapidly become one of the most promising photonic integration platforms. Especially, microring resonator (MRR) plays a pivotal role in silicon photonics and has been widely used for electro-optic (E-O) modulators and wavelength filters due to its small footprint, low energy consumption, and high quality factor (Q-factor). Recently,...
    Resource Type:
    Masters Thesis
    Full Text:
    research. I really appreciate the support from Chris, Rick, Peter, and Teresa. When I got some questions

  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis
    Full Text:
    decoding time-step 1 to m, with the current decoding time-step being represented as m + 1. - Key m+l