Showing 5 open source projects for "framework-arduinoststm32"

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  • 1

    SGsimv2

    smart grid co-simulation

    SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Related Publications: Abdalkarim Awad, Peter Bazan and Reinhard German, " A Short Tutorial On Using SGsim Framework For Smart Grid Applications" Proceedings of the 10th EAI on Performance Evaluation Methodologies and Tools 2016, Taormina, Italy, pp.1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, " Co-Simulation-Based Evaluation of Volt-VAR Control...
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  • 2
    SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: a Simulation Framework for Smart Grid Applications," Proceedings of the IEEE International Energy Conference, Dubrovnik, Croatia, pp. 730-736, May 2014
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  • 3
    Liowsn Project

    Liowsn Project

    Remastered operating system for WSN

    Liowsn (Linux for works with WSN) was created to assist teachers, students and people involved with projects of Wireless Sensor Network (WSN). The operating system is Ubuntu 9.10 remastered and it contains several tools for simulation and testing installed to work with WSN. Discussion Group: http://groups.google.com/group/liowsn-users User manual: https://dl.dropbox.com/u/4912938/LiowsnManual_EN.pdf (English Version) https://dl.dropbox.com/u/4912938/LiowsnManual_PT.pdf (Portuguese Version)
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  • 4
    This project is based on a personal effort for researches on dynamics of coevovling networks. As a physicist, I am trying to build a framework for discrete-time dynamics of general networks, and its software libraries with APIs.
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  • 5
    Main source code is moved at https://github.com/jpahullo/planetsim. We recommend authors of contributions sections to move your code to github. Since then, contributions remain here for your use at will. PlanetSim is an object oriented simulation framework for overlay networks and services. This framework presents a layered and modular architecture with well defined hotspots documented using classical design patterns.
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