Showing 4 open source projects for "linux scanner software"

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  • 1
    DEVS-Suite Simulator

    DEVS-Suite Simulator

    Component, CA, and CCA models; superdense time, DB repo, testing, etc.

    Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL)...
    Downloads: 17 This Week
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  • 2
    Control logic

    Control logic

    Realtime PC-based control and simulator of control systems

    Control logic Java package is a set of Java classes aimed at: - Implementation of a real-time PC-based control - Simulation of control systems Setting up a control system involves working with so-called triggers. See project Wiki for detailed information and examples.
    Downloads: 0 This Week
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  • 3
    SCADA-LTS

    SCADA-LTS

    A comprehensive Supervisory Control, Data Acquisition, and Execution

    SCADA-LTS is an advanced FOSS, web-based, multi-platform environment designed to build your own Supervisory Control, Data Acquisition, and Management Execution Software - SCADA/MES. Its architecture provides a robust foundation for complex industrial automation and monitoring. Optimized for Smart Infrastructure, it is highly capable of managing industrial PV/BESS, Smart buildings, municipal Water networks or Wastewater treatment, ANPR telemetry, City-wide lighting, and other diverse data...
    Downloads: 29 This Week
    Last Update:
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  • 4
    IoT Technical Guide

    IoT Technical Guide

    IoT Technical Guide - Building a High-Performance IoT Platform

    IoT Technical Guide is a Chinese-language learning repository for understanding how high-performance Internet of Things platforms are designed and built. It walks readers through the architecture, concepts, and engineering stack behind IoT systems instead of only listing isolated tools. The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. It is...
    Downloads: 0 This Week
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