Open Source Java Embedded Systems Software

Browse free open source Java Embedded Systems Software and projects below. Use the toggles on the left to filter open source Java Embedded Systems Software by OS, license, language, programming language, and project status.

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    SmartSlog (Smart Space Ontology) is a software/application development kit (SDK or ADK) for programming Smart-M3 agents (Knowledge Processors, KPs) that consume/produce smart space content according with its high-level ontological representation. SmartSlog applies the code generation approach: given an OWL ontology description, the ontology programming library is produced. The latter provides API to access the smart space via a Smart-M3 Semantic Information Broker (SIB) and data structures and functions to represent and maintain locally in KP code all ontology classes, relations, properties, and individuals. Since 2012 the project is supported by grant KA179 of Karelia ENPI programme, http://kareliaenpi.eu/ More information about project: http://oss.fruct.org/wiki/SmartSlog Smart-M3 on Wikipedia: http://en.wikipedia.org/wiki/Smart-M3
    Downloads: 1 This Week
    Last Update:
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  • 2
    JBernstein

    JBernstein

    JBernstein: Exploration techniques for non-linear constraint checking

    JBernstein is a tool implemented in Java that enables to check whether a polynomial constraint holds for all variables within their domain. It is mainly used in the verification or synthesis of cyber-physical systems where the system model is nonlinear. The tool also supports specifications in assume-guarantee style. The underlying algorithm is based on a translation to Bernstein polynomials, and several optimization techniques are implemented to ensure efficiency. Concerning performance, the tool enables to check all examples in the PVS Bernstein testsuite within a second, which can be an order of magnitude faster than some other tools such as QEPCAD or REDLOG. Although JBernstein uses double, it offers automatic error-estimation capabilities (experimental) so that the generated result is correct (the solver may return unknown when the error-estimate is too large)
    Downloads: 1 This Week
    Last Update:
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