2010 First Workshop on Hardware and Software Implementation and Control of Distributed MEMS 2010
DOI: 10.1109/dmems.2010.22
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Using SysML for Smart Surface Modeling

Abstract: Abstract-A smart surface is a distributed Micro-ElectroMechanical System (MEMS) designed for conveying microscopic objects over a meso-scale distance, by the coordinated action of several microcells composed of microsensors, microactuators and control units. We present a high-level description of a smart surface with the System Modeling Language (SysML). We show how various SysML views (requirement, block, constraint and parametric diagrams) may accompany the design of such a complex system with precise but si… Show more

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Cited by 5 publications
(2 citation statements)
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“…d) Modeling: Two complementary models of the Smart Surface have been proposed. The VHDL-AMS model [34] can simulate the behavior of the surface at a physical level while the SysML model [35] gives a more higher-level description of the architecture. The SysML model is derived from the VHDL-AMS one and the objective is to link the SysML description of the hardware to the UML description of the software.…”
Section: A Presentationmentioning
confidence: 99%
“…d) Modeling: Two complementary models of the Smart Surface have been proposed. The VHDL-AMS model [34] can simulate the behavior of the surface at a physical level while the SysML model [35] gives a more higher-level description of the architecture. The SysML model is derived from the VHDL-AMS one and the objective is to link the SysML description of the hardware to the UML description of the software.…”
Section: A Presentationmentioning
confidence: 99%
“…The VHDL-AMS model [10] that have been developed inside the Smart Surface project can simulate the behavior of the surface while the SysML model [16] gives a more higher-level description of the architecture. The SysML model is derived from the VHDL-AMS one and the objective is to link the SysML description of the hardware to the UML description of the software.…”
Section: Modelingmentioning
confidence: 99%