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Filtering by: Creator Chen, H. Remove constraint Creator: Chen, H. Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • 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:
    Learning for Architectural Design Space Exploration and Resource Control Abstract approved: Lizhong Chen

  • 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:
    Chen Machine learning applied to computer architecture has rapidly transitioned from a theoretical

  • 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:
    approved: Lizhong Chen Various natural language processing (NLP) tasks necessitate deep models that are

  • Characterizing On-Chip Traffic Patterns in Throughput Processors: A Deep Learning Approach

    Creator:
    Ramamurthy, Abhishek
    Abstract:
    The machine learning and deep learning models have been very lightly explored in analyzing the behavior of On-Chip network traffic. These models have proven their potential in pattern recognition, classification etc... In this paper we analyze the spatial pattern that each workload exhibits in its life cycle during execution. We...
    Resource Type:
    Masters Thesis
    Full Text:
    . Lizhong Chen The machine learning and deep learning models have been very lightly explored in

  • 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:
    : Lizhong Chen Simultaneous speech-to-text translation remains a difficult yet important problem for modern

  • Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

    Creator:
    Gaskin, Jared
    Abstract:
    In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
    Resource Type:
    Masters Thesis
    Full Text:
    : Bechir Hamdaoui Lizhong Chen In recent years, RF (Radio Frequency) device fingerprinting using deep

  • PAPR Reduction of Optical OFDM Systems with Exponential Companding Transform and Zero Padding

    Creator:
    Chen, Deyan
    Abstract:
    Optical wireless communication (OWC) is an alternative to radio frequency (RF)communication with a signi cantly larger and unregulated spectrum. In OWC systems, optical orthogonal frequency division multiplexing (O-OFDM) with intensity modulation and direct detection (IM/DD) is commonly used. There are two common signal structures in most OWC systems based on...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Deyan Chen for the degree of

  • Nonlinear neural control with power systems applications

    Creator:
    Chen, Dingguo
    Abstract:
    Extensive studies have been undertaken on the transient stability of large interconnected power systems with flexible ac transmission systems (FACTS) devices installed. Varieties of control methodologies have been proposed to stabilize the postfault system which would otherwise eventually lose stability without a proper control. Generally speaking, regular transient stability is...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE THESIS OF Dingguo Chen for the degree of

  • An adaptive pitch axis autopilot design for an unstable nonminimum phase pitch axis model

    Creator:
    Chen, Long Ren
    Abstract:
    An adaptive pitch axis autopilot design procedure is presented. The design procedure is applicable to both stable and unstable pitch axis models and to those having nonminimum phase. The design approach assumes the adaptive autopilot is activated after achieving level flight. It is shown a rate-feedback compensator can be designed...
    Resource Type:
    Masters Thesis
    Full Text:
    nonminimum phase pitch axis model AN ABSTRACT OF THE THESIS OF Long Ren Chen for the degree of Master of

  • A comparison and assessment of hybrid filter topologies and control algorithms

    Creator:
    Chen, Lijun
    Abstract:
    The harmonic problem in power systems is gaining more attention as incidences correlated with harmonics increase. Conventional passive filtering techniques for harmonic mitigation have inherent problems, and purely active filters have the disadvantages of higher costs and ratings. Hybrid active filters inherit the efficiency of passive filters and the improved...
    Resource Type:
    Masters Thesis
    Full Text:
    control algorithms AN ABSTRACT OF THE THESIS OF Lijun Chen for the degree of Master of Science in