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Filtering by: Creator Lowery, David P. Remove constraint Creator: Lowery, David P. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Modeling and development of p-type thin-film transistors

    Creator:
    Spiegelberg, Matthew Craig
    Abstract:
    The primary focus of this thesis involves modeling and development of p-type thin-film transistors (p-TFTs), moving towards the realization of a filly transparent thin-film transistor (TTFT). The modeling portion of this thesis emphasizes the development of physics-based TFT models, specifically focusing on the elucidation of non-ideal current-voltage characteristic behavior. A...
    Resource Type:
    Masters Thesis
    Full Text:
    of p-type thin-film transistors (p-TFTs), moving towards the realization of a fully transparent

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: David A. Hendrix Our goal is to build a system to model the RNA sequences that reveals

  • Amorphous metal thin films as a platform for solution processing

    Creator:
    Landau, Nicholas P.
    Abstract:
    The research presented herein represents an effort to combine the ultra-smooth surface of an amorphous metal thin film (AMTF) with a solution-processed dielectric synthesized via prompt inorganic condensation (PIC). Analysis of dielectric film quality is carried out via electrical measurements of metal-insulator-metal (MIM) diodes. Anneals at 500 and 700 °C...
    Resource Type:
    Masters Thesis
    Full Text:
    Solution Processing AN ABSTRACT OF THE THESIS OF Nicholas P. Landau for the degree of Master of

  • Scaled modeling and simulation of ocean wave linear generator buoy systems

    Creator:
    Gore, Ganesh P.
    Abstract:
    Accurate scaled modeling and simulation are critical to advancing ocean wave linear generator buoys. A 100th scaled model of ocean wave generator buoy systems is analyzed by solving the Navier-Stokes equations. These equations are numerically solved using Computational Fluid Dynamics (CFD) by implementing the front capturing method. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    . © Copyright by Ganesh P Gore June 28, 2006 All Rights Reserved

  • Fabrication and characterization of p-type CuO / n-type ZnO heterostructure gas sensors prepared by sol-gel processing techniques

    Creator:
    Ravichandran, Ram
    Abstract:
    Increased interest in the field of sensor technology stems from the availability of an inexpensive and robust sensor to detect and quantify the presence of a specific gas. Bulk p-CuO/n-ZnO heterocontact based gas sensors have been shown to exhibit the necessary sensitivity and selectivity characteristics, however, low interfacial CuO/ZnO contact...
    Resource Type:
    Masters Thesis
    Full Text:
    Characterization of p-type CuO / n-type ZnO Heterostructure Gas Sensors Prepared by Sol-Gel Processing Techniques

  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    -understanding Finite-State Representations of Recurrent Policy Networks Abstract approved: Alan P. Fern We

  • Incorporating and Learning Behavior Constraints for Sequential Decision Making

    Creator:
    Pinto, Jervis
    Abstract:
    Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...
    Resource Type:
    Dissertation
    Full Text:
    Constraints for Sequential Decision Making Abstract approved: Alan P. Fern Writing a program that performs

  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    Raw Basketball Videos. Abstract approved: Alan P. Fern Sports analytics is rapidly evolving today

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    Vision for Understanding American Football in Video Abstract approved: Alan P. Fern In this work, I

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis
    Full Text:
    Media Sensors for Twitter Abstract approved: Scott P. Sanner Social media sources such as Twitter