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    Universal real-time control framework and Internet of Things for fast-paced research and development based production environments

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    Type
    Conference Paper
    Authors
    Chaoui, Hicham cc
    Aljarboua, Abdullah Abdulaziz
    Miah, Suruz
    KAUST Department
    Computer Science Program
    Date
    2017-05-13
    Online Publication Date
    2017-05-13
    Print Publication Date
    2017-03
    Permanent link to this record
    http://hdl.handle.net/10754/625031
    
    Metadata
    Show full item record
    Abstract
    This paper introduces a universal real-time control platform for complex research and development (R&D) based products design. The inherent complexity in R&D projects makes products development a difficult task to undertake. The use of state of the art development tools for modeling, simulation, and hardware-in-the-loop (HIL) validation contributes to a complexity reduction. However, R&D projects still require significant development time since many design iterations are usually necessary before final solution, which increases the cost. In most R&D processes, these tools are not used beyond rapid prototyping since development for mass production is usually performed in another environment, using different tools. This paper presents a fast and cost effective way of R&D-based products development, speeding-up time to market.
    Citation
    Chaoui H, Aljarboua AA, Miah S (2017) Universal real-time control framework and Internet of Things for fast-paced research and development based production environments. 2017 IEEE International Conference on Industrial Technology (ICIT). Available: http://dx.doi.org/10.1109/ICIT.2017.7915491.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE International Conference on Industrial Technology (ICIT)
    Conference/Event name
    2017 IEEE International Conference on Industrial Technology, ICIT 2017
    DOI
    10.1109/ICIT.2017.7915491
    Additional Links
    http://ieeexplore.ieee.org/document/7915491/
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICIT.2017.7915491
    Scopus Count
    Collections
    Conference Papers; Computer Science Program

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