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Issues regarding the control design, system identification, and the practical implementation of this application are discussed.
Based on the results, it can be concluded that GBM and SVM are more suitable algorithms for operational implementation of this application.
Through the design and implementation of this application, we have explored the benefits and difficulties of HPRC systems in general, and identified several important features of both these systems and applications that are candidates for porting.
We describe in Section 3 the proposed fast prototyping methodology which helps the software and hardware designer to obtain quickly an efficient implementation of this application on HNCP architecture.
St . Johns supported the hardware and networking costs for the implementation of this application.
We have chosen to first demonstrate the high-throughput FCS capabilities of this setup because of the relative ease of implementation of this application: a single detection channel per spot is sufficient to obtain the diffusion coefficient and concentration of the sample.
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We finish with the implementation of the application model, thanks to the distributed adaptable software architecture.
The detailed implementation of the application is given to clarify the design pattern.
Obviously, the appropriate drivers have to be deployed together with the implementation of the application to ensure proper execution.
GGT contributed to conception, design, and implementation of the application.
RR contributed to conception, design, and implementation of the application and helped drafting the manuscript.
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