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Filtering by: Committee Member Adams, Michael J. Remove constraint Committee Member: Adams, Michael J. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • User interface design considerations for emerging input technologies in iTV

    Creator:
    Wolford, Justin
    Abstract:
    Streaming media and interactive television viewing experiences are becoming more commonplace with the introduction of services such as Netflix Streaming, the Apple TV, and Google TV aided by the increase adoption of broadband internet. As these services make their way into the living room, and developers struggle to accommodate more...
    Resource Type:
    Masters Thesis
    Full Text:
    have put into this research. I would like to thank my committee members Ron Metoyer, Michael Bailey

  • Constraint based personalization

    Creator:
    Nagboth, Sai Rajkiran
    Abstract:
    Personalization is defined as a process that facilitates interaction among consumers and providers such that individual consumers are enabled to more readily access the content and services of providers, and individual providers are enabled to more effectively and easily deliver their content and services to consumers. This project presents a...
    Resource Type:
    Capstone Project
    Full Text:
    GRADUATE ADVISORY COMMITTEE Dr. Kalman C Toth, Professor, Dept. of EECS Dr. Michael J Quinn, Dept. of

  • Volume analysis and visualization

    Creator:
    Khare, Ankit
    Abstract:
    3D datasets acquire great importance in the context of medical imaging. In this thesis we survey and enhance solutions to problems inherently associated with 3D datasets-processing time,noise and visualization. Efforts include development of a tool kit to provide a multi-threaded processing platform to cut processing time, produce real time visualization...
    Resource Type:
    Masters Thesis
    Full Text:
    Ron Metoyer, Dr Michael J. Quinn and Dr Michael K. Gross for their time and inputs. TABLE OF

  • Studying electricity feedback for the home with an emphasis on the user

    Creator:
    Hunter, Josie Elizabeth
    Abstract:
    As non-renewable resources dwindle and costs increase, it becomes ever more important for people to understand and control their electricity usage. Eco-feedback devices are being developed to increase user awareness and reduce consumption. In order for feedback devices to be successfully adopted into the home, however, they must be appealing...
    Resource Type:
    Masters Thesis

  • A data-driven model of pedestrian movement

    Creator:
    Casburn, Ledah
    Abstract:
    This thesis presents a model for simulating individual pedestrian motion based on empirical data. The model keeps track of a pedestrian’s position, orientation, and body configuration and leverages motion capture data to generate plausible motion. Our model can automatically incorporate a pedestrian’s physical limitations when making movement decisions, since it...
    Resource Type:
    Masters Thesis
    Full Text:
    and natural. . . . . . . . . . . . . . . . . . . 13 3.3 For the transition from pose i to pose j to

  • Computing Substation Fragility as a Function of Seismic Component Failure

    Creator:
    Stark, William D.
    Abstract:
    The electrical grid of the Western Interconnection is vulnerable to earthquake damage, especially large-magnitude megathrust events, due to the unique seismic profile of the region. However, the size of the Western Interconnection makes it difficult to model seismic failure in electrical substations to the level of detail necessary to improve...
    Resource Type:
    Masters Thesis
    Full Text:
    infectious and has provided help and support more times than I can count. Thank you also to Dr. Michael

  • Web-based Deep Segmentation of Building Structure

    Creator:
    Chen, Zehuan
    Abstract:
    Deep learning and neural network has been widely used in research, deep learning has empowered many tasks such as point clouds segmentation and shape recognition. One of the main advantages of deep interaction point cloud segmentation is that it allows the feature extraction can be learned through neural network based...
    Resource Type:
    Masters Thesis
    Full Text:
    works, on which this thesis is based. Thanks to Michael James Olsen, Associate Professor and his

  • Low power receivers for wireless sensor networks

    Creator:
    Ni, Ronghua
    Abstract:
    Wireless sensor networks are becoming important in several monitoring and sensing applications. Ultra low power consumption in the sensor nodes is important for extending the battery life of the nodes. In this dissertation, two low power BFSK receiver architectures are proposed and verified with prototype implementations in silicion. A 2.4...
    Resource Type:
    Dissertation
    Full Text:
    for being members of my committee and readers of my dissertation. I’m also indebted to Dr. Michael