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Filtering by: Creator Chan, Dr. Hing Ling Remove constraint Creator: Chan, Dr. Hing Ling Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Wirelessly Powered cm-Scale Sensor for Small Insect Localization Application

    Creator:
    Kang, Jian
    Abstract:
    The prevalence of Internet-of-Things (IoT) applications leads to an increasing focus on the design and optimization of sensor nodes. Battery lifetime and associated costs of battery replacement often limits the long term operation and viability of sensor nodes. RF wireless energy harvesting on the other hand can be appealing since...
    Resource Type:
    Dissertation
    Full Text:
    a PhD adventure. And I am really grateful for this opportunity offered by my advisor Dr. Arun

  • Analysis and Design of Low Voltage LC Oscillators and their Application to Wireless Sensor Networks

    Creator:
    Guha Roy, Ankur
    Abstract:
    This dissertation focuses on the analysis, design, and application of inductor-capacitor (LC) oscillators for wireless sensor networks (WSNs). First an analysis and design optimization approach for enhanced swing, low power CMOS LC oscillators is presented. A phasor based analysis is used for determining the amplitude and phase noise of these...
    Resource Type:
    Dissertation
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    tutorials I had in my life. He also taught me obje tive thinkingand fo using on the basi s. Thanks to Dr

  • The Symbioses of Oblivious Random Access Memory and Trusted Execution Environments

    Creator:
    Rahal-Arabi, Hadi
    Abstract:
    In recent years, Oblivious Random Access Memory (ORAM) controllers in Trusted Execution Environments (TEEs) have become a popular area of investigation, as coresident trusted systems allow for significantly more efficient oblivious execution. Further, in the case of Intel architectures, oblivious execution effectively eliminates the majority of confidentiality leakage holes in...
    Resource Type:
    Masters Thesis
    Full Text:
    ACKNOWLEDGEMENTS I would like to thank my principal investigator and advisor Dr. Yeongjin Jang for his deep

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    grateful to my advisor, Dr. Fuxin Li, for the support, encourage- ment, and mentorship through the whole

  • Channel estimation and data detection for mobile MIMO OFDM systems

    Creator:
    Gao, Jie
    Abstract:
    Designing spectral efficient, high-speed wireless links that offer high quality- of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of channel estimation and data detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over...
    Resource Type:
    Dissertation
    Full Text:
    advisor Dr. Huaping Liu for his continuous encouragement, support and guidance throughout my graduate

  • Adaptive, wideband analog-to-digital conversion for convergent communication systems

    Creator:
    Batten, Robert D., 1973-
    Abstract:
    The exponential rate of advances in modern communication devices in the last several years have brought us higher levels of functionality and performance as well as reductions in physical size and power consumption. To continue this rate of advancement, next generation systems require wider bandwidth and higher resolution ADCs. Additionally,...
    Resource Type:
    Dissertation
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    support during my studies. A big thanks to my advisor Dr. Terri Fiez for her continuing support and

  • Optical Sensors using Biological Photonic Crystals

    Creator:
    Squire, Kenneth James
    Abstract:
    This dissertation focuses on the application of diatom frustules, the biosilica shell of an algae possessing physical and photonic properties capable of enhancing optical signals, for the enhancement of optical sensing. In this work, we incorporate diatom frustules into biosensors for signal enhancement and improved target molecule detection. The potential...
    Resource Type:
    Dissertation
    Full Text:
    would like to express my gratitude to my advisor Dr. Alan Wang for his guidance and council throughout

  • Energy-Aware Gossip Techniques for Wireless Broadcasting

    Creator:
    Li, Tingzhi
    Abstract:
    The current state of research on gossip techniques for wireless broadcasting is very limited because past research efforts have mostly focused on using gossip techniques for multicast communication. On the other hand, those research efforts that have focused on using gossip techniques for wireless broadcast communications ignore energy efficiency and...
    Resource Type:
    Masters Thesis
    Full Text:
    Li, Author ACKNOWLEDGEMENTS I would first like to thank my advisor Dr. Bechir Hamdaoui of the

  • Resource allocation methods for quality-of-service provisioning in heterogeneous wireless networks

    Creator:
    Chakchouk, Nessrine
    Abstract:
    The increased use of mobile wireless devices that we have recently been witnessing, such as smartphones, tablets, e-readers, and WiFi enabled devices in general, is driving an unprecedented increase in the amount of data traffic. This fast market adoption of the wireless technology along with the tremendous success of multimedia...
    Resource Type:
    Dissertation
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    throughout my PhD. First I would like to express my deep and sincere thanks to my advisor Dr. Bechir

  • 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
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    , Dr. Huaping Liu, for being an excellent academic advisor and guide me towards exciting and chal