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Filtering by: Creator Di, Jin Remove constraint Creator: Di, Jin Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • A probabilistic framework and algorithms for modeling and analyzing multi-instance data

    Creator:
    Behmardi, Behrouz
    Abstract:
    Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...
    Resource Type:
    Dissertation

  • Coordinating secondary-user behaviors for inelastic traffic reward maximization in large-scale DSA networks

    Creator:
    NoroozOliaee, MohammadJavad
    Abstract:
    We develop efficient coordination techniques that support inelastic traffic in large-scale distributed dynamic spectrum access DSA networks. By means of any learning algorithm, the proposed techniques enable DSA users to locate and exploit spectrum opportunities effectively, thereby increasing their achieved throughput (or "rewards" to be more general). Basically, learning algorithms...
    Resource Type:
    Masters Thesis
    Full Text:
    -agent average a hieved reward under intrinsi (gi = rj), global (gi = G), and proposed (gi = Di) fun

  • Understanding the ultra-wideband channel within a computer chassis

    Creator:
    Redfield, Stephen J.
    Abstract:
    Recent developments in computing technology have generated a demand for more streamlined and effective test systems. By replacing traditional in-chassis wired interconnects with a broadcast wireless system, fault detection and error susceptibility will drastically improve, input/output capabilities will expand, and routing complexity will decrease. Ultra-wideband impulse radio's (UWB-IR) characteristic multipath-immunity...
    Resource Type:
    Masters Thesis
    Full Text:
    , Charles Hu, Jin-jin He, Brad Nelson, Johannes Huschle, Seung-jin and Sang-jun, and Samia El-Amrani for

  • Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks

    Creator:
    NoroozOliaee, MohammadJavad
    Abstract:
    The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing an unprecedented growth in the required amount of the wireless radio spectrum. On the other hand, the spectrum resource has, for the last several decades,...
    Resource Type:
    Dissertation
    Full Text:
    Comparison: Ti versus Di . . . . . . . . . . . . . . . 57 3.4 Optimal Service Satisfaction

  • Resource-Aware Distributed Data Sanitization for Privacy Preserving Machine Learning

    Creator:
    Anand, Yashwanthi
    Abstract:
    When a single object is captured by multiple edge devices, the data captured by every edge device could contain both public and private information. The private information in every copy of the data captured has to be preserved while the public information has to be utilized for any further machine...
    Resource Type:
    Masters Thesis
    Full Text:
    my committee. I would like to extend my deepest gratitude to Dr Thinh Nguyen and Dr Jin- sub Kim

  • Toward Automated Decision-Making in Power Systems Wide-Area Protection

    Creator:
    Meier, Richard John
    Abstract:
    In recent years there have been many improvements in the reliability of critical infrastructure systems. Despite these improvements and despite targeted efforts to improve the operation and control of the electric grid, the power systems industry has seen relatively small advances in this regard. For instance, today's power system is...
    Resource Type:
    Masters Thesis
    Full Text:
    synchrophasor data analysis a current research trend, but recent works are also still investigating the di

  • Interpretable Machine Learning: Applications in Biology and Genomics

    Creator:
    Danaee, Padideh
    Abstract:
    Machine learning (ML) and deep learning (DL) models impact our daily lives with applications in natural language modeling, image analysis, healthcare, genomics, and bioinformatics. The exponential growth of biological sequence data necessitates accompanying advances in computational methods. Although deep learning is highly effective for detecting and classifying biological sequences, challenges...
    Resource Type:
    Dissertation
    Full Text:
    known. This work can be categorized into four di↵erent applications: I) the development of bpRNA, a

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
    Full Text:
    3.3 2D histograms of frame mean frequency and bandwidth from two di↵erent inter- vals of audio

  • A multi-bit hybrid DSM over full-scale range without feedback DEM

    Creator:
    Kwon, Sunwoo, 1974-
    Abstract:
    Evolution of the mobile communication standards and proliferation of hand-held devices mandate stringent Analog-to-Digital Converter (ADC) specifications. Among various ADCs, a ∆Σ ADC is best known as a power-efficient ADC when more than 12b is required. However, a conventional discrete-time (DT) ∆Σ Modulator (∆ΣM) is inadequate for low-power wideband applications...
    Resource Type:
    Dissertation
    Full Text:
    Kim, Sung-No Lee, Seung-Bin You, Ho-Jin Park, and Jae-Whui Kim. Lytech Solutions, Inc., Salem, OR

  • Effects of ultraviolet illumination and a parylene-A activation layer on the gas phase sensing characteristics of ZnO nanobridges

    Creator:
    Mason, Ashley D.
    Abstract:
    ZnO nanowires (NWs) are good candidates for chemical sensing because of their high surface-to-volume ratio. In this work, ZnO nanobridge sensors were fabricated utilizing a novel method which uses carbonized photoresist (C-PR) as a nucleation layer. The use of C-PR allows simultaneous growth and integration of NWs to lithographically-defined features....
    Resource Type:
    Masters Thesis
    Full Text:
    left continuously in DI water. . . . . . . . 36 4.14 Contact angle measurements on ZnO NWs (a) before