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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

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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

  • Multiple antenna techniques for pulse-based ultra-wideband system

    Creator:
    Vemulapalli, Sudheer
    Abstract:
    fIndoor wireless local area networks (LAN's) and personal area networks (PAN’s) have evolved very rapidly in the recent past. The indoor wireless LAN's are mainly dominated by narrow-band technologies like the IEEE 802.11a,b which are short range and provide data rates of 1 Mbps to 54 Mbps. The Bluetooth has...
    Resource Type:
    Masters Thesis
    Full Text:
    early 80’s, one of the pioneers in this field, Larry Fullerton, demonstrated a practical system which

  • 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

  • Evolving character controllers for collision preparation

    Creator:
    Rose, Robert W.
    Abstract:
    Full dynamic control of physically simulated characters is the holy grail of video games and other interactive applications. Recent advances in the field have presented controllers that can handle the balance and fall response after a collision. This thesis addresses the development of a controller that handles the response before...
    Resource Type:
    Masters Thesis

  • 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

  • Leveraging Structures of the Data in Deep Learning

    Creator:
    Li, Xingyi
    Abstract:
    The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
    Resource Type:
    Dissertation

  • Learning to Estimate Multi-Relation Aggregation Functions

    Creator:
    Jadhav, Rashmi Suresh
    Abstract:
    Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
    Resource Type:
    Masters Thesis