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Filtering by: Creator Prineas, J. P. Remove constraint Creator: Prineas, J. P. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Language English [eng] Remove constraint Language: English [eng]

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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:
    , 2003. Title: p-Type Transparent Electronics. Abstract approved: John F. Wager The objective of this

  • 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

  • Monte Carlo Tree Search with Fixed and Adaptive Abstractions

    Creator:
    Hostetler, Jesse A.
    Abstract:
    Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
    Resource Type:
    Dissertation
    Full Text:
    the ground problem greedily with respect to Q∗α is bounded by Jα(h) ≤ 2βγ(d)(p+ δq). (3.11) Proof

  • 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

  • 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:
    : Assumption 1. The reward r(s,a) and the probability p( j|s,a) are stationary. Assumption 2. The reward r(s

  • 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

  • Efficient, secure and covert channel capacity bounded protocols for multilevel security cross-domain environments - an experimental system

    Creator:
    Nandakumar Thampi, Archana
    Abstract:
    The communication in MLS cross-domain environments faces many challenges. The three most important challenges are efficient key management, privacy preserving and covert channel. We propose an Efficient, Secure and Covert Channel Capacity Bounded Protocol which has three algorithms that addresses these challenges: The Efficient Attribute-based Fine-Grained Authentication (EAFA) algorithm, Anonymous...
    Resource Type:
    Masters Thesis
    Full Text:
    . The service provider P computes two secret keys: KUP = h(C j,NP,NU ,0) and K′UP = h(C j,NP,NU ,1). P

  • Channel Estimation, Modulation Techniques and Decoding Algorithms for Hybrid WiFi-FSO (WiFO) WLAN of Femtocells

    Creator:
    Chu, Yu-Jung
    Abstract:
    Due to the limitation of the radio frequency (RF) spectrum, it is increasingly more difficult to support billions of wireless devices in the age of Internet-of-Things. Consequently, many recent wireless indoor communication systems have been developed using free space optical (FSO) communication technologies that exploit the extremely large light spectrum...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: Thinh P. Nguyen Due to the limitation of the radio frequency (RF) spectrum, it is

  • 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