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Filtering by: Creator Feng, Shi Remove constraint Creator: Feng, Shi Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • New Techniques for Multi-Channel Biosignal Acquisition and Low-Power, Low-Resistance-Measurement Systems

    Creator:
    Kim, Jinyong
    Abstract:
    Dense electrical recording of biosignals has been developed to provide spatial resolution and precise temporal information for health monitoring, diagnostics, and clinical research. However, more electrodes require more wires, and wiring density quickly becomes a limiting factor. To break this bottleneck, we proposed a frequency-division multiplexing (FDM) based architecture for...
    Resource Type:
    Dissertation
    Full Text:
    committee, Prof. Temes, Prof. Moon, Prof. Cheng, Prof. Minot, and Prof. Feng. All comments that they

  • Fast algorithms and applications for multi-dimensional least-squares-based minimum variance spectral estimation

    Creator:
    Wei, Lin
    Abstract:
    The main contributions of this thesis are the development and application of four computationally efficient solutions for least-squares-based (LS-based) minimum variance spectral estimation (MVSE). They are: (1) fast computational solution for the 1-D covariance LS-based MVSE, (2) fast computational solution for the 1-D modified covariance LS-based MVSE, (3) fast computational...
    Resource Type:
    Dissertation
    Full Text:
    , Dr. Zhong-feng Wang and Dr. Guenter Schneider for their efforts and time to serve on my Ph.D

  • 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
    Full Text:
    point zero, which could cause training process not stable and oscillating near zero. Feng et al . [15

  • 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

  • Communication efficient private set and database operations

    Creator:
    Garimella, Gayathri Annapurna
    Abstract:
    Secure Computation is a powerful tool that enables a set of parties to jointly compute any function over their private inputs, without a trusted third party. Private Set Intersection is a specific case of two-party Secure Computation, where Alice (with private set X) and Bob (with private set Y) specifically...
    Resource Type:
    Dissertation

  • Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

    Creator:
    Khalfi, Bassem
    Abstract:
    Besides enabling an enhanced mobile broadband access, fifth-generation (5G) wireless mobile networks are envisioned to support the connectivity of massive, heterogeneous Internet of Things (IoT) devices. Connecting these devices through 5G systems and providing them with their needed data rates require huge amounts of spectrum and power resources, thus calling...
    Resource Type:
    Dissertation

  • Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

    Creator:
    Xu, Xu
    Abstract:
    Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
    Resource Type:
    Masters Thesis

  • Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

    Creator:
    Rajabi, Arezoo
    Abstract:
    Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
    Resource Type:
    Dissertation
    Full Text:
    pleasure to collaborate with Dr. Mahdieh Abbasi, Dr. Charles Wright, Dr. Wuchi Feng and Dr. Mike Rosulek

  • Large-Area Nanoplasmonic Structures for Enhanced Fluorescence-Based Biosensing

    Creator:
    Wang, Yi-Chieh
    Abstract:
    An innovative silver nano-dimple arrays (Ag DAs)-integrated microfluidic device was developed to achieve highly sensitive fluorescence-based nucleic acid detection. The Ag DAs were utilized to produce surface plasmon resonance (SPR) for strong fluorescence enhancement. We systematically investigated the plasmon-enhanced fluorescence by controlling the nanostructure dimension of the Ag DA substrate....
    Resource Type:
    Masters Thesis

  • Infant Hand Detection and Tracking

    Creator:
    Mishra, Shridhar
    Abstract:
    Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
    Resource Type:
    Masters Thesis