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Filtering by: Creator Markle, Bradley R. Remove constraint Creator: Markle, Bradley R. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Enabling Graceful Software Upgrades in Distributed Systems

    Creator:
    Gotlur Muralidhar, Hima
    Abstract:
    In today’s world, we are highly dependent on software systems together with devices for almost every task in our day to day life. Software system upgrades are released whenever it is necessary to accommodate the ever-changing user’s needs. The devices we use to run the software systems might be of...
    Resource Type:
    Masters Thesis
    Full Text:
    : _____________________________________________________________________ Jesse R. Walker In today’s world, we are highly dependent on software systems together with

  • Modeling and experimental verification of electric and magnetic fields generated by undersea power transmission cables

    Creator:
    York, Charles E.
    Abstract:
    As interest grows in developing devices to harvest energy from ocean waves, tidal currents, and offshore wind, concerns over possible environmental effects from such devices also grow. One such concern is over the induced electric fields and the generated magnetic fields from generators and their associated submarine power cables in...
    Resource Type:
    Masters Thesis
    Full Text:
    2πr (2.1) where r is the distance away from the wire and H is the intensity of the resulting

  • 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

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation
    Full Text:
    Protocol . . . . . . . . . . 185 8.1 The functionality Fio2PC computing Cf with evaluation rate r

  • Semi-digital PLL architecture for ultra low bandwidth applications

    Creator:
    George, Edmond
    Abstract:
    Phase Locked Loops(PLLs) are an integral part of almost every electronic system. Systems involving low frequency clocks often require PLLs with low bandwidth. The area occupied by the large loop filter capacitor and resistor in a low bandwidth PLL design makes the realization of traditional charge-pump PLL architecture impractical on...
    Resource Type:
    Masters Thesis
    Full Text:
    , Robert, Farshad, Neil, Bradley, Marshall, Dan with many others. Sashank needs special mention for

  • A nano-power wake-up circuit for RF energy harvesting wireless sensor networks

    Creator:
    Lindsley, Christopher J.
    Abstract:
    A fully integrated CMOS latched comparator is presented for use as a wake-up circuit that is attached to an RF energy harvester in a battery free wireless sensor network. The system consumes less than 36nA static current at 20°C and dissipates 2pJ of energy per conversion. The comparator comprises of...
    Resource Type:
    Masters Thesis
    Full Text:
    head when I was in third grade. My teacher, Mr. Paul Bradley, introduced me to the simple machines

  • 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

  • Software history under the lens : a study on why and how developers examine it

    Creator:
    Codoban, Mihai, Srinivasa Ragavan, Sruti, Dig, Danny, and Bailey, Brian
    Abstract:
    Despite software history being indispensable for developers, there is little empirical knowledge about how they examine software history. Without such knowledge, researchers and tool builders are in danger of making wrong assumptions and building inadequate tools. In this paper we present an in-depth empirical study about the motivations developers have...
    Resource Type:
    Technical Report
    Full Text:
    are happening 1reddit/r/programming and Twitter Why is this "this" way Reverse engineer

  • Channel Estimation in TDD MU-MIMO Systems using Sub-Linear Sparse Signal Recovery Algorithms

    Creator:
    Barry, David G.
    Abstract:
    Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communication systems incorporate promising advanced strong technologies for upcoming 5G communications. To obtain some of the high spectrum and energy e ciencies bonuses brought by MU-MIMO systems, the ability to obtain Channel State information, especially on the receiver side (CSI), is important. To minimize...
    Resource Type:
    Masters Thesis
    Full Text:
    antenna array. The separation within the array is given by ∆rλc. ∆r is the separation normalized to the

  • 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