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Filtering by: Creator Jordan, Chris E. Remove constraint Creator: Jordan, Chris E. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Learnify : Spotify for Learning

    Creator:
    Dasgupta, Prateek
    Abstract:
    Web-based online learning is seeing great adoption alongside the traditional brick-and-mortar classroom model. Online collaborative applications, tutorials and learning platforms have been a great source of knowledge for users. However, most of these applications do not provide much organizational structure to help guide and motivate users in learning new skills....
    Resource Type:
    Capstone Project
    Full Text:
    e-learning, from a provider standpoint, is that some of the responsibility for directing learning

  • Assessing quality attributes of open source software by mining low ceremony evidence

    Creator:
    Karve, Sanchit
    Abstract:
    Programmers often have to choose components online for reuse based on software quality. To help with this choice, most component repositories (SourceForge, CodeProject, etc.) provide information such as user ratings and reviews of components. However, the reusability of components is not immediately obvious from this material. To make things worse,...
    Resource Type:
    Masters Thesis
    Full Text:
    review [7], [11], and our own work has used such cues to provide enhanced product search tools for e

  • Assessing mental workload and situation awareness in the evaluation of real-time, critical user interfaces

    Creator:
    Strawn, Jordan J.
    Abstract:
    While there are many ways to evaluate a user interface design, the user's mental workload and situation awareness (SA) are particularly important considerations in the supervisory control of safety-critical systems. Typically, operators of these systems must monitor high-volume, time-sensitive status information. Interface design for this domain can be challenging and...
    Resource Type:
    Masters Thesis
    Full Text:
    OF THE THESIS OF Jordan J. Strawn for the degree of Master of Science in Computer Science presented

  • Sizing and Performance of the Pendulum Power Take-Off Wave Energy Converter: Modularity and Chaotic Behavior

    Creator:
    Dizon, Chris
    Abstract:
    Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Chris Dizon for the

  • Model development via delay extraction for the time-domain simulation of lossy transmission lines.

    Creator:
    Blevins, Chris
    Abstract:
    This thesis presents two new approaches for the broadband, time-domain modeling of lossy transmission lines. Each approach is based on an alternative derivation of delay extraction in order to separate the line's linear phase from its attenuation and dispersion. Augmentation networks represent the derived attenuation networks as rational function approximations....
    Resource Type:
    Masters Thesis
    Full Text:
    Chris Blevins for the degree of Master of Science in Electrical and Computer Engineering presented on

  • Visualizing Large Datasets on Memory and Performance Constrained Mobile Devices

    Creator:
    Schultz, Chris
    Abstract:
    Graphics hardware in mobile devices has become more powerful, allowing rendering techniques such as ray-cast volume rendering to be done at interactive rates. This increase of performance provides desktop capabilities combined with the portability of a tablet. Volumes can demand a high amount of memory in order to be loaded...
    Resource Type:
    Capstone Project
    Full Text:
    Constrained Mobile Devices by Chris Schultz A PROJECT REPORT submitted

  • Helping end-user programmers find and fix performance problems in visual code

    Creator:
    Chambers, Chris
    Abstract:
    End-user programmers often struggle to create programs that run quickly and effectively, which can be a major deterrent in completing their tasks as desired. Current research has primarily focused on catching user mistakes, such as errors or misused formulas. However, end users deal with issues other than just correctness. In...
    Resource Type:
    Dissertation
    Full Text:
    Problems AN ABSTRACT OF THE DISSERTATION OF Chris Chambers for the degree of Doctor of Philosophy in

  • Dimension checking tools for spreadsheets

    Creator:
    Chambers, Chris (Christopher Willie)
    Abstract:
    We present the evolution of a reasoning system for inferring dimension information in spreadsheets. The three papers included in this thesis show how the initial system can be used to check the consistency of spreadsheet formulas and thus is able to detect errors in spreadsheets, and the evolution to a...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Chris Chambers for the degree

  • 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:
    : Mario E. Magaña Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communi

  • Integrating learning and search for structured prediction

    Creator:
    Doppa, Janardhan Rao
    Abstract:
    We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of ordinary human activity - can be analyzed to make sense of the data and to make useful predictions. To fully realize the promise of this...
    Resource Type:
    Dissertation
    Full Text:
    their excellent work and fantastic ideas: Charles Parker, Chris-Mills Price, Mohammad Nasresfahani