Showing 6 open source projects for "new open lms"

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  • 1

    JSensor

    high performance computing, Wireless Sensors Networks Simulators

    How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve...
    Downloads: 0 This Week
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  • 2

    NS3 QoE Monitor

    QoE Monitor allows NS3 users to evaluate QoE in simulated environments

    QoE Monitor is an open-source software module for Network Simulator 3 (NS-3), usable to perform Quality-of-Experience (QoE) evaluations of multimedia communications in simulative networks. More in detail, it is able to assess the user perceived quality of audio and/or video multimedia streams. Its design has been inspired by EvalVid (link to http://www.tkn.tu-berlin.de/menue/research/evalvid/). QoE Monitor is currently developed by the Networking Research group of University of Modena...
    Downloads: 0 This Week
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  • 3
    AWNetS(Aibear Wireless Network Simulator)is a C++ written,fire-new discrete-event wireless network simulator which integrates network and communication simulations.It also focuses on various kinds of wireless networks including satellite and HAP.
    Downloads: 0 This Week
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  • 4
    For new versions, check https://github.com/Darkkey/javaNetSim javaNetSim (Java Network Simulator) - it's a fork of a project jFirewallSim. The main goal of javaNetSim is creating a software to simulate various TCP/IP networks based on Ethernet, WiFi, PPP, etc...
    Downloads: 6 This Week
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  • 5
    Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]
    Downloads: 0 This Week
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  • 6
    This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
    Downloads: 0 This Week
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