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Filtering by: Creator Chien, Chih-Chun Remove constraint Creator: Chien, Chih-Chun Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Plasmonic color filter array, high performance analog to digital converter architectures and novel circuit techniques

    Creator:
    Shakya, Jyotindra R.
    Abstract:
    Part I: Plasmonic color filters can be manufactured at lower cost since they can be fabricated in single lithographic process step as compared to Fabry-Perot based filters. In addition, they have narrow passband making resolving sharp features in sample spectrum possible. Due to these benefits, in this thesis, Plasmonic color...
    Resource Type:
    Dissertation

  • Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

    Creator:
    Li, Yunfan
    Abstract:
    The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
    Resource Type:
    Dissertation

  • Imepdance Sensing Techniques for Integrated Circuits Sensor Applications

    Creator:
    Shen, Boyu
    Abstract:
    Impedance measurements are increasingly demanded in modern CMOS sensing systems as impedance is the most common electrical signal obtained from sensors, delivering physical, chemical and biomedical quantity changes. Impedance sensing for wide interested frequency, broad dynamic range, and various sensor interfaces has numerous challenges, especially targeted in CMOS miniaturization with...
    Resource Type:
    Dissertation

  • Coding Techniques for Achieving Efficient Wireless Sensor Networks

    Creator:
    Qassim, Yousef M.
    Abstract:
    In this dissertation, we explored multiple coding techniques to reduce energy consumption, improve performance, and secure wireless sensor networks specifically and ad-hoc networks in general. With the introduction of Internet of Things (IoT) and 5G technologies, wireless sensor networks are quickly emerging as an important and key technology in the...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.1.8 Error Locator Polynomial . . . . . . . . . . . . . . . . . . . . . . . . 20 2.1.9 Chien

  • 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

  • Quantum dot plasmon coupling : Fundamental study and applications

    Creator:
    Kannegulla, Akash
    Abstract:
    The dissertation focuses on the engineering of light-matter interaction using plasmonic nanoparticles and metamaterials to achieve enhanced luminescence and based on which to improve the performance of biosensing and light-emitting technologies. We designed and fabricated a spectrum of nanostructures to exhibit particular dispersion relations capable of controlling the spontaneous emission...
    Resource Type:
    Dissertation
    Full Text:
    Professor Alan X. Wang, Professor Chih-Hung Chang, Professor Matthew Johnston, Professor John Labram and

  • Identifying and Removing On-chip Network Bottleneck in Throughput Processors

    Creator:
    Li, Yunfan
    Abstract:
    The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we first quantitatively analyze the performance of...
    Resource Type:
    Masters Thesis

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation

  • Architectures and algorithms for dynamic overlay networks

    Creator:
    Abdelwahab, Sherif
    Abstract:
    Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
    Resource Type:
    Dissertation

  • Surface-Enhanced Infrared Absorption Gas Sensing Incorporating Advanced Plasmonic Nanostructures and Nano-Composite Materials

    Creator:
    Chong, Xinyuan
    Abstract:
    This dissertation focuses on extending the application scope of surface enhanced infrared absorption spectroscopy to gas sensing. The method we propose is incorporating plasmonic nanostructures with nano-composite material, metalorganic framework, which can selectively preconcentrate certain gas molecules into the nanopores. The preconcentrating property is first demonstrated by applying metal-organic framework...
    Resource Type:
    Dissertation
    Full Text:
    gave my work this extent form. My appreciation also extends to Professor Chih-Hung Chang, Professor