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Filtering by: Creator Warnick, Larry James Remove constraint Creator: Warnick, Larry James Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • Optical Sensors using Biological Photonic Crystals

    Creator:
    Squire, Kenneth James
    Abstract:
    This dissertation focuses on the application of diatom frustules, the biosilica shell of an algae possessing physical and photonic properties capable of enhancing optical signals, for the enhancement of optical sensing. In this work, we incorporate diatom frustules into biosensors for signal enhancement and improved target molecule detection. The potential...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Kenneth James

  • Optofluidic Sensing from Inkjet-Printed Droplets on Diatom Biosilica

    Creator:
    Xi, Yuting
    Abstract:
    We explored an optofluidic sensing mechanism from inkjet-printed droplets on diatom biosilica using surface-enhanced Raman scattering (SERS). Our study revealed a new biosensing strategy that combines the microscopic fluidic flow induced by the droplet evaporation and the photonic crystal effects of diatom frustules, which can provide an ultra-sensitive, cost-effective biosensing...
    Resource Type:
    Masters Thesis
    Full Text:
    encouragement. In addition, I would also like to thank Dr. Larry Cheng, Dr. Matthew Johnston, and Dr. Malhotra

  • 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:
    Larry Cheng, Professor Matthew Johnston and Professor William H. Warnes for serving as my committee

  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation
    Full Text:
    Carlos Jensen, and Professor James Coakley (GCR) for their encouragement and input. This dissertation

  • Quantum dots-fullerene based molecular beacons for highly sensitive DNA detection

    Creator:
    Liu, Ye
    Abstract:
    We demonstrated a low-cost and high-sensitivity DNA detection method using quantum dot-fullerene based molecular beacons (MBs) and magnetic nanoparticles. The MB tethered magnetic nanoparticles can be well dispersed in analytes for efficient DNA capture and concentrated by an external magnetic field for enhanced fluorescence signal detection. The detection requires only...
    Resource Type:
    Masters Thesis
    Full Text:
    express deepest gratitude to my advisor Dr. Larry Cheng for his full support, expert guidance

  • From multitarget tracking to event recognition in videos

    Creator:
    Brendel, William
    Abstract:
    This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from a host of sources, including motion blur, occlusions, and dynamic cluttered backgrounds. We show that these challenges can be successfully addressed by using a multiscale,...
    Resource Type:
    Dissertation

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    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:
    Abstract approved: ______________________________________________________ Li-Jing (Larry) Cheng

  • On the limits of mutation analysis

    Creator:
    Gopinath, Rahul
    Abstract:
    Mutation analysis is the gold standard for evaluating test-suite adequacy. It involves exhaustive seeding of all small faults in a program and evaluating the effectiveness of test suites in detecting these faults. Mutation analysis subsumes numerous structural coverage criteria, approximates fault detection capability of test suites, and the faults produced...
    Resource Type:
    Dissertation

  • Efficient Incremental Panorama Reconstruction from Multiple Videos

    Creator:
    Feng, Zhongyuan
    Abstract:
    Constructing a panorama from a set of videos is a long-standing problem in computer vision. A panorama represents an enhanced still-image representation of an entire scene captured in a set of videos, where each video shows only a part of the scene. Importantly, a panorama shows only the scene background,...
    Resource Type:
    Capstone Project