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

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  • p-type transparent electronics

    Creator:
    Valencia, Melinda Marie
    Abstract:
    The objective of this thesis is to contribute to the development of p-type materials for transparent electronics applications. Thin films of ®-BaCu2S2, a p-type semi-transparent semiconductor, are fabricated and characterized. ®-BaCu2S2 has a transmittance of 60% to 80 % in the visible portion of the electromagnetic spectrum. The mobility, conductivity,...
    Resource Type:
    Masters Thesis
    Full Text:
    metal work function, φm, and the semiconductor work function, φs (see Fig. 2.3(a)). For a p-type

  • Diversity combining ARQ over the m(> 2)-ary unidirectional channel

    Creator:
    Elarief, Noha
    Abstract:
    In diversity combining automatic repeat request (ARQ), erroneous packets are combined together forming a single, more reliable, packet. In this thesis, we give a diversity combining scheme for the m-ary unidirectional channel. A system using the given scheme with a t-unidirectional error detecting code is able to correct up to...
    Resource Type:
    Masters Thesis
    Full Text:
    Science in Computer Science presented on October 16, 2008 Title: Diversity Combining ARQ over the m (≥ 2

  • 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:
    for a metal-semiconductor contact in which the semiconductor is p-type and M < x + Eg • A

  • Mapping Software Development Tool Design to Information Foraging Theory

    Creator:
    Nabi, Md Tahmid-un
    Abstract:
    The design of programming tools is slow and costly. To ease this process, we have developed a design pattern catalog aimed at providing guidance about how to design tools for developers. This guidance is grounded in Information Foraging Theory (IFT), which empirical studies have shown to be useful for understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ Christopher P. Scaffidi The

  • The Effectiveness of Using Robotics for Career Technology Education in a Middle School STE(A)M Course

    Creator:
    Bodle, Ernie
    Abstract:
    Using robotics in education allows students to become familiar with multiple topics in science, technology, engineering, and mathematics (STEM). With the use of robotic educational tools in the 8th – 12th grade classrooms, such as Sphero, Anki Cozmo, and Lego Mindstorms, few devices allow students to build the robots’ electrical...
    Resource Type:
    Masters Thesis
    Full Text:
    . Title: The Effectiveness of Using Robotics for Career Technology Education in a Middle School STE(A)M

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    for Efficient Learning of Point-Goal Navigation Abstract approved: Stefan M. Lee Top-performing

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis
    Full Text:
    Mere Mortals with Explanations of Reinforcement Learning Abstract approved: Margaret M. Burnett How

  • 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

  • Adiabatic Markov Decision Process : convergence of value iteration algorithm

    Creator:
    Duong, Thai
    Abstract:
    Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
    Resource Type:
    Masters Thesis
    Full Text:
    : Convergence of Value Iteration Algorithm Abstract approved: Thinh P. Nguyen Markov Decision Process (MDP

  • 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:
    an d A ta ri en v ir on m en ts . G am e Q B N S iz es O ri gi n al M M A ft er P ru