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Filtering by: Creator Chen, Tsu-fang Remove constraint Creator: Chen, Tsu-fang Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering Language English [eng] Remove constraint Language: English [eng]

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  • Improving Peak Power Shaving in Data Centers using Deep Neural Networks

    Creator:
    Qi, Fang
    Abstract:
    Data centers have been charged a great amount of electric bill by the power company and demand charge can contribute up to 40% of the electric bill due to the "random" workload. This phenomenon can be avoided by using the existing Uninterrupted Power Supply (UPS) as the assistant power source...
    Resource Type:
    Capstone Project
    Full Text:
    8 AN ABSTRACT OF THE THESIS OF Fang Qi for the

  • 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

  • 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

  • A wideband low-power continuous-time delta-sigma modulator for next generation wireless applications

    Creator:
    Chen, Xuefeng
    Abstract:
    Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs) are widely used in wireless transceivers. Recently, continuous-time (CT) ΔΣ ADCs gain growing interest in wireless applications for their lower power consumption and wider input bandwidth as compared with the discrete-time (DT) counterparts. In this thesis, a wideband low-power CT ΔΣ modulator for next generation...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Xuefeng Chen for the degree of Doctor

  • New Detection Methods for Transmission at Faster-Than-Nyquist Rates Using Quasi-Orthogonal Sequences

    Creator:
    Fang, Zhou
    Abstract:
    Direct sequence spread spectrum (DSSS) was initially used for anti-jamming in military applications and was later developed in other commercial applications. Walsh codes, which are a set of mutually orthogonal codes, are one type of the spreading codes used in DSSS systems. For any spreading codes of length N, these...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Zhou Fang for the degree of

  • A comparative study of lowpass continuous-time delta-sigma modulators with pulse-shaped DACs

    Creator:
    Fang, Jie
    Abstract:
    Recently, continuous-time ΔΣ modulators are appearing increasingly often in both the literature and the marketplace due to their features of inherent antialiasing and relaxed requirements for opamp and so on. However, several nonideal factors such as clock jitter, excess loop delay, inter-symbol interference and so on, degrade the SNR performance...
    Resource Type:
    Masters Thesis
    Full Text:
    THESIS OF Jie Fang for the degree of Master of Science in Electrical and Computer Engineering

  • Location Privacy-Preserving Strategies for Secondary Spectrum Use

    Creator:
    Grissa, Mohamed
    Abstract:
    The scarcity of wireless spectrum resources and the overwhelming demand for wireless broadband resources have prompted industry, government agencies and academia within the wireless communities to develop and come up with effective solutions that can make additional spectrum available for broadband data. As part of these ongoing efforts, cognitive radio...
    Resource Type:
    Dissertation
    Full Text:
    committee members Professor Mag- gie Niess, Professor Lizhong Chen and Professor Mike Rosulek, for

  • Distributed Dynamic Multi-Area State Estimation with Fusion Technique

    Creator:
    Guo, Jia
    Abstract:
    As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
    Resource Type:
    Dissertation
    Full Text:
    . Besides, I would like to thank the rest of my Ph.D. committee: Dr. Chen and Dr. Kim, for their insightful

  • 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

  • Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

    Creator:
    Khalfi, Bassem
    Abstract:
    Besides enabling an enhanced mobile broadband access, fifth-generation (5G) wireless mobile networks are envisioned to support the connectivity of massive, heterogeneous Internet of Things (IoT) devices. Connecting these devices through 5G systems and providing them with their needed data rates require huge amounts of spectrum and power resources, thus calling...
    Resource Type:
    Dissertation
    Full Text:
    Prof. Lizhong Chen for their insightful comments and encouragement. Also, I would like to thank my