Descripción
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Most works on Cyber-Physical Systems (CPS)are based on classic hardware infrastructures made ofsensors, actuators and processing devices. Usual self-configuration technologies, then, do not allow humans to beintegrated in CPS as service providers. Therefore, in thiswork we propose a new self-c onfiguration technology forhumanized CPS. The proposed technology uses simplebinary and mathematical operations in order to reduce theconvergence time, improve the scalability and address thedynamism introduced by humans into CPS. Be sides, ahuman-oriented quality-of-service algorithm based on theMaslow pyramid is also introduced. Moreover, an experi-mental validation is conducted in order to validate theproposed solution as a useful and scalable self-configuration technology for humanized Cyber-Physical Systems. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Journal of Ambient Intelligence and Humanized Computing |
ISSN
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1868-5137 |
Factor de impacto JCR
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0,835 |
Información de impacto
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Q3 |
Volumen
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DOI
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10.1007/s12652-016-0410-3 |
Número de revista
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Desde la página
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1 |
Hasta la página
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12 |
Mes
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SIN MES |
Ranking
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