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Filtering by: Creator Sun, Bo Remove constraint Creator: Sun, Bo Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Non-enzymatic electrochemical sensors based on functionalized nanomaterials

    Creator:
    Wu, Bo
    Abstract:
    Unlike other biosensing, electrochemical biosensor has the advantages of robustness, easy miniaturization, excellent detection limits, and capability in handling small analyte volumes. The detection selectivity of the electrochemical biosensors is mainly supported by bioreceptors. However, these receptors always suffer from the performance variation caused by the environment and the thermal-...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Bo Wu for the

  • Global AIS Data Visualization on a 3D Earth

    Creator:
    Yi, Hongyan
    Abstract:
    The constant increase in marine traffic requires a strategy to manage safety. The automatic identification system (AIS) was developed as a navigation safety device for ships in the 1990s. AIS is intended, primarily, to allow ships to view marine traffic in their area and to be seen by that traffic....
    Resource Type:
    Capstone Project
    Full Text:
    Teaching Assistant. I would also thank my committee member, Prof. Bo Zhao and Prof. Raffaele de

  • TIMR : Time Interleaved Multi Rail

    Creator:
    Ruggeri, Thomas L.
    Abstract:
    This work presents a new energy saving technique for modern digital designs. We propose Time Interleaved Multi-Rail (TIMR) - a method for providing two dynamic supply rails to a circuit. This technique uses the first supply rail to mask the transition delay while changing the voltage of the second rail....
    Resource Type:
    Masters Thesis
    Full Text:
    Traylor and Bo Zhang. With their help I have been able to complete this large project. Thanks also goes

  • Investigating Time-Digital-Converters for Hardware Security in FPGAs

    Creator:
    Lytikov, Daniil
    Abstract:
    In this comprehensive thesis, we present a series of experiments and findings that highlight the critical importance of TDC Voltage Sensors in the hardware security domain. Our research begins by introducing a novel self-calibrating module, demonstrating its efficiency through preliminary calibration tests. We then delve into the Peak-to-Peak tests, which...
    Resource Type:
    Masters Thesis

  • Machine Learning Methods for the Discovery and Analysis of MicroRNAs

    Creator:
    Bell, Jimmy D.
    Abstract:
    MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
    Resource Type:
    Masters Thesis
    Full Text:
    we are aware of. In one study, Sun et al. did an analysis with miREAP in the context of the

  • Poisoning machine learning models to increase membership inference risks

    Creator:
    Le, Hoang
    Abstract:
    Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
    Resource Type:
    Masters Thesis
    Full Text:
    , and Sun Lim Kim for all the laughter we shared, and all my Vietnamese friends for providing a tight

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    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:
    former laboratory colleagues (Ye Liu, Bo Wu, Yi-Chieh Wang, Vishvas Chalishazar, and Amritha Ajithkumar

  • 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

  • Relational Networks for Visual Relationship Detection in Images

    Creator:
    Nguyen, Khoi
    Abstract:
    This thesis is about visual relationship detection. This is an important task in computer vision. The goal is to detect all visual relationships in a given image between objects. This thesis presents a new approach to this problem. Our approach does not use an object detector as a common pre-processing...
    Resource Type:
    Masters Thesis
    Full Text:
    Vision, pages 2425–2433, 2015. [3] Bo Dai, Yuqi Zhang, and Dahua Lin. Detecting visual relationships