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Filtering by: Creator Shen, Ben Remove constraint Creator: Shen, Ben Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jianqiang Shen for the

  • Flexible dual TCP/UDP streaming for H.264 HD video over WLANs

    Creator:
    Zhao, Jing
    Abstract:
    High Definition video streaming over WLANs faces many challenges because video data requires not only data integrity but also frames have strict playout deadline. Traditional streaming methods that rely solely on either UDP or TCP have difficulties meeting both requirements because UDP incurs packet loss while TCP incurs delay. This...
    Resource Type:
    Masters Thesis
    Full Text:
    Title: Flexible Dual TCP/UDP Streaming for H.264 HD Video Over WLANs Abstract approved: Ben Lee

  • Optimization of Flexible Dual-TCP/UDP Streaming Protocol For HD Video Streaming over 802.11 Wireless Networks

    Creator:
    Dhamodaran, Arul N.
    Abstract:
    Flexible Dual-TCP/UDP Streaming Protocol with Adaptive Bitstream Prioritization (FDSP with Adaptive-BP) is a new method for streaming H.264-encoded High-definition (HD) video over WLANs. Traditionally, video streaming is done either using Transmission Control Protocol (TCP) or User Datagram Protocol (UDP) protocol, resulting in either rebuffering or packet loss respectively. While FDSP-based...
    Resource Type:
    Dissertation
    Full Text:
    Wireless Networks Abstract approved: Ben Lee Flexible Dual-TCP/UDP Streaming Protocol with Adaptive

  • Adaptive load balancing metric for WLANs

    Creator:
    Ryou, Jong bum
    Abstract:
    As the number of mobile devices accessing large-scale WLANs such as campus and metropolitan area networks increases, the need for load balancing among the cells becomes crucial. In addition, the network must also support some minimum handoff tolerance defined by an application. A number of load balancing techniques have been...
    Resource Type:
    Dissertation
    Full Text:
    : Adaptive Load Balancing Metric for WLANs Abstract approved: Ben Lee As the number of mobile devices

  • Adaptive Streaming Methods using Dual Protocols and Reinforcement Learning

    Creator:
    Gatimu, Kevin
    Abstract:
    The ubiquity of high quality video and proliferation of mobile devices has contributed to an unprecedented rise in video consumption. HTTP, in conjunction with adaptive streaming, has become the de facto mechanism for delivering the vast majority of video as it readily caters to heterogeneous networks and devices. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    : Ben Lee The ubiquity of high quality video and proliferation of mobile devices has contributed to an

  • Towards Long Short Term Memory Based Proactive In-Network Caching for Cloud RANs

    Creator:
    Tirupathi, Chittibabu
    Abstract:
    The rapid population growth in large urban cities has led to an unprecedented increase in both the number and the diversity of wireless devices and applications with varying quality of service requirements in terms of latency and data rates. LinkNYC is an example of an urban communication network infrastructure, which...
    Resource Type:
    Masters Thesis
    Full Text:
    , Prof. Ben lee, Prof. Rakesh Bobba and Prof. Margaret Louise Niess, who were involved in the validation

  • Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

    Creator:
    Gaskin, Jared
    Abstract:
    In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
    Resource Type:
    Masters Thesis

  • On the domain generalizability of RF fingerprints through multifractal dimension representation

    Creator:
    Johnson, Benjamin
    Abstract:
    RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data from one domain performs badly when tested on data from a...
    Resource Type:
    Masters Thesis
    Full Text:
    thesis committee: Dr. Mike Bailey, Dr. Ben Lee, and Dr. William Warnes for their enthusiasm with the

  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis

  • Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

    Creator:
    Liew, Ji Seok
    Abstract:
    Achieving sharpened (enhanced detail) features of a multi-dimensional data source using the linear prediction (LP) bandwidth extrapolation (BWE) technique in the transform domain is the main objective of this research. The evolution of sensor technology has provided acquisition scenarios in which the data format is inherently multi-dimensional, including hyperspectral imaging...
    Resource Type:
    Dissertation
    Full Text:
    my thesis committee Professor Ben Lee, Huaping Liu and Luca Lucchese for their helpful feedback