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

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  • 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

  • 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

  • Motivating programmers through karma systems

    Creator:
    Cedeno, Jose
    Abstract:
    Keeping FOSS developers motivated is a challenging problem, and their motivation levels can affect the team's productivity and satisfaction, leading to higher or lower productivity. Using reputation systems as a motivator has become the de-facto standard for many online communities, rewarding user's activity through badges of honor or achievement levels....
    Resource Type:
    Masters Thesis

  • 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:
    vector ~R(s, a), which gives the reward for each type. The total scalar reward is the sum across types

  • Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

    Creator:
    Wei, Qi
    Abstract:
    Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...
    Resource Type:
    Dissertation

  • Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

    Creator:
    Ozmen, Muslum Ozgur
    Abstract:
    Internet of Things (IoT) is an integral part of application domains such as smart-home, digital healthcare, smart grid systems and vehicular networks. Various standard public key cryptography techniques (e.g., key exchange, public key encryption, digital signature) are available to provide fundamental security services for IoTs. However, despite their pervasiveness and...
    Resource Type:
    Masters Thesis
    Full Text:
    : Number of pre-computed pairs. 1: pi $←− Zq, Pi ←− pi ×G, and store pairs Γ = 〈(pi,Pi)〉ni=1 (r,R)←− BPV

  • 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

  • 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
    Full Text:
    . `Message R/O' indicates the total number of times a message was opened in Outlook Explorer or in Outlook

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation
    Full Text:
    In this work, we consider a standard Markov decision process (mdp) ⟨S,A, T,R, γ⟩ with state space S

  • 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