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  • Structured network coding

    Creator:
    Saireddy, Balaji
    Abstract:
    Network coding is a transmission paradigm that is known to achieve better network throughput in certain multicast topologies; however, the practicality of network coding has been questioned due to its high computational complexity. One of the drawbacks of using network coding is the long decoding times, this is mainly due...
    Resource Type:
    Capstone Project
    Full Text:
    Network Coding by Balaji Saireddy Major advisor: Dr. Thinh Nguyen Committee: Dr. Alan Fern

  • Secure socket layer protocol simulation in Java

    Creator:
    Karri, Nagendra
    Abstract:
    This project aims to study the performance of Secure Sockets Layer (SSL) Protocol implemented in JAVA for web applications. Secure Sockets Layer protocol allows client/server applications to communicate in a way that is designed to prevent eavesdropping, tampering, or message forgery. In particular, this project focuses on an implementation of...
    Resource Type:
    Capstone Project
    Full Text:
    Major Subject: Computer Science 2 SECURE SOCKETS LAYER PROTOCOL SIMULATION IN JAVA A

  • Reinforcement Learning for Network Routing

    Creator:
    Yalamanchi, Hema Jyothi
    Abstract:
    Efficient routing of information packets in dynamically changing communication networks requires routing policies that adapt to changes in load levels, traffic patterns and network topologies. Reinforcement Learning (RL) is an area of artificial intelligence that studies algorithms that dynamically optimize their performance based on experience in an environment. RL, thus,...
    Resource Type:
    Capstone Project
    Full Text:
    Q-Routing: Reinforcement Learning for Network

  • Video streaming in unstructured peer-to-peer networks

    Creator:
    Furtado, Craig
    Abstract:
    With the increase in demand for streaming media capabilities across the Internet, the focus has shifted from traditional client-server to peer-to-peer approaches. Content Distribution Networks (CDNs) have also recently moved from web acceleration to media streaming. P2P CDNs can be used both as a delivery mechanism and as an independent...
    Resource Type:
    Capstone Project
    Full Text:
    Science in Computer Science presented on _________. Title: Video Streaming in Unstructured Peer-to

  • Performance Evaluation of Hybrid Peer-to-Peer System for Streaming

    Creator:
    Rajasekaran, Pallavi
    Abstract:
    Finding an efficient way of distributing content in Peer-to-Peer (P2P) networks has become important with the growing popularity of media streaming applications. Video multicast applications rely on the efficiency of content distribution from a single source to multiple receivers where one source streams a video to a large number of...
    Resource Type:
    Capstone Project
    Full Text:
    in Computer Science presented on ______________. Title: Performance Evaluation of Hybrid Peer-to

  • Development of the project CROOS website : Laying the groundwork for the future of fisheries research

    Creator:
    Pugmire, Christopher M.
    Abstract:
    Fisheries researchers and the general public can greatly benefit from the rapid data sharing and collaborative research that is facilitated by the both the internet and modern digital technology. One of the pioneers of this new strategy of conducting and utilizing fisheries research is Project CROOS (Collaborative Research on Oregon...
    Resource Type:
    Capstone Project
    Full Text:
    ). “IOOS is a network of systems that routinely and continuously provides quality controlled data and

  • Variations on ID3 for text-to-speech conversion

    Creator:
    Hild, Hermann
    Abstract:
    Summary of results. After implementing the plain ID3 algorithm, I experimented with various modifi cations. Two improvements of the process of finding a legal phoneme/stress could be made by using statistical information about the letter to phoneme/stress-mapping in the training set. Adding the CHI-SQUARE test to the ID3 algorithm was...
    Resource Type:
    Capstone Project
    Full Text:
    . In 1986 T. Sejnowski and C.R. Rosenberg presented a Neural Network that could learn to pronounce