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Filtering by: Creator Xiao, Dong Remove constraint Creator: Xiao, Dong Resource Type Masters Thesis Remove constraint Resource Type: Masters Thesis

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  • Gamma decays and level structure of ¹⁸⁶Ir

    Creator:
    Xiao, Dong
    Abstract:
    ¹⁸⁶Ir gamma transitions are studied via the reaction Hf (¹⁴N, xn) Au at ¹⁴N beam energy 130 MeV. The beta decay chain of Au is Au + Pt + Ir + Os. Singles and coincidence data are from measurements by Ge gamma-ray detectors. Conversion electrons are measured by Si(Li) detector....
    Resource Type:
    Masters Thesis
    Full Text:
    THE THESIS OF DONG XIAO for the degree MASTER OF SCIENCE in PHYSICS presented on June 17, 1985

  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    Imitation Learning For Optimal Joint Beamforming and Antenna Selection Abstract approved: Xiao Fu

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    : Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms Abstract approved: Xiao Fu

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    Oregon State University. Futher, I would like to thank Zhongang Qi and Xiao Fu for the joint discussions

  • Cultural differences and business interaction : an analysis of conflicts between Chinese and American ways of life

    Creator:
    Chen, Yuejian, 1958-
    Abstract:
    This study uses an anthropological perspective to discuss the cultural differences between Chinese and Americans in business contexts. Through an analysis of case studies related by businesspersons involved in Sino-US trade, and by an analysis of literature on the subject, it describes how cultural differences contribute to the problems and...
    Resource Type:
    Masters Thesis

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis

  • Classifying the toxicity of pesticides to honey bees via support vector machines with random walk graph kernels

    Creator:
    Yang, Ping
    Abstract:
    Pesticides benefit agriculture by increasing crop yield, quality, and security. However, pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate pesticides in development pipelines must be assessed for toxicity to bees. Leveraging a data set of 382 molecules with toxicity labels from honey bee exposure experiments, we...
    Resource Type:
    Masters Thesis

  • Ultrafiltration Membrane Fouling in Side-stream Aerobic Granular Sludge Membrane Bioreactor

    Creator:
    Yang, Zhengjian
    Abstract:
    The integration of low-pressure membrane filtration and aerobic granular sludge (AGS) reactor leads to a novel environmental biotechnological process with strong potential to overcome membrane fouling and demonstrate excellent wastewater treatment performance. However, membrane fouling mechanisms in the AGS based membrane bioreactor (MBR) are lack of systematic elaboration. In the...
    Resource Type:
    Masters Thesis
    Full Text:
    discussed in the following studies (Pellegrin et al., 15 2015; Xiao et al.,2014; Chaudhry et al

  • Characterization of CoGe Thin Films and Powders

    Creator:
    Pfau, Andrew James
    Abstract:
    Cobalt germanides have been widely studied as semiconductor contact materials, but recent theoretical studies suggest that they may also be excellent catalysts for methane steam reforming with stabilities and activities comparable to noble metal catalysts. In order to study the catalytic activity of cobalt germanides, it is critical to first...
    Resource Type:
    Masters Thesis
    Full Text:
    /1/007.  [43] S.S. Dong, S.G. Liu, X.M. Tao, F.H. Xiao, L.H. Huang, F. Yang, Y. He, Q. Chen, H.S

  • 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:
    . 2.1.1.5 Circuit ORAM: On Tightness of the Goldreich-Ostrovsky Lower Bound [34] Xiao Wang et al. develop