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Design and implementations of such systems are highly required managerial skills and methodological tools.
However, the implementations of such systems can come at greater complexities and costs especially to the banks.
While expected applications of Modular Robotic Systems (MRS) span various workspaces, scales, and structures, practical implementations of such systems lag behind their potentials in performing real-world tasks.
Authors compare performance values of up-to-date cluster systems and original reconfigurable computer systems, suggest principles of design of modular scalable reconfigurable computer systems with high real performance and give examples of various implementations of such systems.
The effects of these technologies on accuracy, repeatability and reproducibility (ARR) in different implementations of such systems have to be investigated to quantify their contributions to the overall processing uncertainty, especially those with the highest impact on beam delivery sub-systems.
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Numerous application programs, such as Microsoft's SharePoint, exist to facilitate the implementation of such systems.
The implementation of such systems is costly and complex.
Such an assessment can help to speed the implementation of such systems in current applications.
However, the implementation of such systems is difficult and its computations are time-consuming.
We found that in this part of the world, implementation of such systems are being driven largely by government agencies and young startups.
The chapter provides the details on typical implementation of such systems for a successful design.
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