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Filtering by: Creator Millspaugh, Joshua J. Remove constraint Creator: Millspaugh, Joshua J. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Atomic layer deposition of nanolaminate high-κ gate dielectrics for amorphous-oxide semiconductor thin film transistors

    Creator:
    Triska, Joshua B.
    Abstract:
    Nanolaminate dielectrics combine two or more insulating materials in a many-layered film. These structures can be made to significantly outperform films composed of a single one of their constituent materials by adjusting the composition ratio, arrangement, and size of the component layers. In this work, atomic layer deposition (ALD) is...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Joshua B. Triska for the degree of Master of Science in Electrical and

  • Low voltage techniques for pipelined analog-to-digital converters

    Creator:
    Carnes, Joshua Kenneth
    Abstract:
    To realize pipelined ADCs in deep-submicron processes, low voltage techniques must be developed to work around problems created by limited supply voltages such as the floating switch dead zone, reduced SNR, and reduced OpAmp performance. This thesis analyzes standard and low voltage design issues for pipelined ADCs and proposes a...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Joshua Kenneth Carnes for the degree of Master of Science in

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    distribution of p after intervention is: p(V1, ..., Vn) = ∏ Vi∈Oe pi(Vi | Pa(Vi)) · ∏ Vj∈Ie p′j(Vj | Pa(Vj

  • Window Axial Vision Transformer for Image Classification

    Creator:
    Lee, Jisoo
    Abstract:
    Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
    Resource Type:
    Masters Thesis
    Full Text:
    [1] Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel

  • 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

  • Visualization and analysis of sensor data for detecting microclimate cold air pools

    Creator:
    Singh, Satpreet Harcharan
    Abstract:
    Cold air pools are spatiotemporal phenomena that occur when cold air from higher elevations roll down the slope to accumulate in lower elevations. Behaviors like this lead to microclimate anomalies such as the city of Corvallis (Oregon) experiencing persistent cold weather even on a sunny day. We analyze multivariate temperature...
    Resource Type:
    Masters Thesis
    Full Text:
    Gaussian distribution with mean βj,kXiI[Gi = gj ] and variance σ 2 k, where j ∈ {0, 1} indexing the left

  • Gender differences in robot teleoperation

    Creator:
    Showkat, Dilruba
    Abstract:
    Gender issues have recently received increased attention in human robot interaction (HRI). Because robots are becoming part of our homes and daily lives, it is important to understand how different groups of people use them. To the best of our knowledge, almost no research has been done that investigates gender...
    Resource Type:
    Masters Thesis

  • Improving automated email tagging with implicit feedback

    Creator:
    Sorower, Mohammad Shahed
    Abstract:
    Machine learning systems are generally trained offline using ground truth data that has been labeled by experts. However, these batch training methods are not a good fit for many applications, especially in the cases where complete ground truth data is not available for offline training. In addition, batch methods do...
    Resource Type:
    Dissertation

  • Evaluation of UWB techniques for indoor position locationing

    Creator:
    Chou, Tai Chian
    Abstract:
    Time of Arrival (TOA) is a popular technique used for geolocation. This thesis evaluates the use of TOA techniques indoors. The accuracy of measuring distances using TOA is dependent on the bandwidth of the system and the multipath conditions between the receiver and transmitter. System bandwidth has a significant effect...
    Resource Type:
    Masters Thesis
    Full Text:
    friends and colleagues Vinod, Rahul, Von, Sudheer, Zhang Ye, Liyang, Joy, Can and Joshua for the

  • Facilitating Code Comprehension by Annotations in Canvas-Based IDE

    Creator:
    Adeli, Marjan
    Abstract:
    Developers spend a considerable amount of time comprehending code and building accurate mental models of the code. Understanding the relationships between software features within IDEs is difficult, with information split across different visual hierarchies making navigation cumbersome. Canvas-based IDEs mitigate some of the navigation costs by allowing relevant information to...
    Resource Type:
    Masters Thesis