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Filtering by: Creator Bai, Barry B. Remove constraint Creator: Bai, Barry B. 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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  • 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:
    Comparisons for Synthesized Spectrograms . . . . . . . . . . 67 B Final Decoder Layer Cross-Attention

  • Atomic Layer Processing for Next-Generation Microelectronic Materials

    Creator:
    Holden, Konner E. K.
    Abstract:
    Atomic layer deposition (ALD) is an enabling technique for many new micro- and nanoscale technologies. The self-limiting surface chemical reactions by which ALD fundamentally operates give rise to uniquely high precision (atomic) control over deposited film thickness, uniformity over large areas, and conformality over complex and extreme topographies. One such...
    Resource Type:
    Dissertation
    Full Text:
    Figure 2.2. ALD cobalt oxide film thickness as a function of ALD cycles on (a) Si and (b) SiO2 and Co

  • Design of Compact Passive Components and Circuits for RF and Millimeter-Wave Integrated Circuit in Silicon

    Creator:
    Dong, Xuanyi
    Abstract:
    Emerging fifth generation (5G) and beyond 5G communication networks are stimulating the design of radio-frequency (RF) and millimeter-wave (mmWave) integrated circuits for wireless transceivers systems. While co-integration of active circuits and diverse passive components becomes feasible at these high operating frequencies, circuit design is faced with significant challenges due to...
    Resource Type:
    Dissertation
    Full Text:
    Polarity . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 B Calibration and De-embedding

  • Determination of magnetoelastic parameters in magnetic thin films from FMR spectra

    Creator:
    Masood, Khalid I.
    Abstract:
    The ferromagnetic resonance (FMR) phenomenon serves as a sensitive probe of the effective internal fields in a magnetic material. FMR spectroscopy has consequently become a well-established technique, extensively employed in assessing material properties such as magnetic anisotropy, Landé g-factor, damping parameter, and the magnetoelastic constants of magnetic materials. Determining these...
    Resource Type:
    Dissertation
    Full Text:
    CONTENTS (Continued) Page B Parameter Extraction Algorithm . . . . . . . . . . . . . . . . . . . . 159

  • Electronic Stability of Metal Halide Perovskites

    Creator:
    Hong, Min Ji
    Abstract:
    Despite near unanimous opinion on the consequences of climate change by scientific community, the rate at which carbon is emitted into the atmosphere continues to increase. The need for a clean and sustainable source of energy is therefore one of humankind's most urgent challenges. Solar energy is the most abundant...
    Resource Type:
    Dissertation
    Full Text:
    (b) emerging photovoltaics from National Renewable Energy Laboratory (NREL

  • Indoor Localization Using Direction of Arrival Approach

    Creator:
    Zhang, Tingwei
    Abstract:
    In this paper, a Direction of Arrival (DOA) based system is proposed. This method searches the direction relative to the array to find where the signal source is located. The proposed system can achieve sub-meter level accuracy with a near real-time update rate. Also, we introduced several refinement methods including...
    Resource Type:
    Masters Thesis

  • 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

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation
    Full Text:
    the measured force and showed that the estimation based on MU features had lower RMSE. Bai et al

  • Machine Learning for Architectural Design Space Exploration and Resource Control

    Creator:
    Penney, Drew D.
    Abstract:
    Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.1 NoC Architecture. (a) Single-Ring (b) Mesh (c) Hierarchical Ring . . . . 42 4.2 A 4x4 NoC

  • Machine learning for computer architecture design and optimization

    Creator:
    Penney, Drew
    Abstract:
    Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
    Resource Type:
    Dissertation
    Full Text:
    ). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 4.1 NoC Architecture. (a) Single-Ring (b) Mesh (c) Hierarchical Ring . . . . 61 4.2 A 4x4 NoC