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The simplicity and flexibility of the proposed model make it feasible to be implemented to several computing software, i.e. Matlab, AMESim, Labview, Dymola et al. It can be easily implemented to real-time Hardware-in-the-Loop (HIL) simulation model for the future piston dynamic control system development.
Our procedure helps us to optimize the list of markers which are to be implemented to real-time quantitative PCR-supported fine needle biopsy (Lubitz & Fahey 2006).
The case will be different when the approach is implemented to the real user in the real environment.
The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars.
Once proven successful, this algorithm can be implemented to solve real problems in neurology and bioinformatics.
The developed model is implemented to a real-world supply chain of electrical equipment in Greece.
Various optimization techniques have been implemented to achieve real-time interaction with large industrial models.
Due to this appealing property, the KSBS approach has been practically implemented to solve real-world problems [8].
An internet-of-things (IoT) based cyber-interface simulator is implemented to simulate real-time machine availability.
This can be implemented to provide a real-time dynamic reference to the plant diagnostic system.
Moreover, the efficiency of the proposed method was supported by implementing it to real environmental water samples with adequate results.
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