The research design is based on a comparative case study, utilizing a questionnaire-based survey.
A case study utilizing a retrofit of an existing municipal seawater desalination plant will highlight our approach.
The design is a descriptive, single case study utilizing pre- and post-self-report measures; methods are multi-modal including interview, written questionnaire, and standardized psychological questionnaires.
Finally, the optimal design for our proposed continuum manipulator considering the stiffness performance and kinematics performance simultaneously is implemented as a case study utilizing the NAGA-II genetic algorithm.
Many performances indexes have been measured for each case study utilizing the proposed shark algorithm and another existing optimization algorithms namely, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).
The optimizations performed on a complete case study, utilizing the extracted software metadata, achieve overall improvements of up to 42% in the number of cycles spent accessing memory when compared to code optimized only with the static techniques applied by GNU G++.
Experimental results for the case study utilizing Turtlebot and AR drone are presented in Sect.
Simulation results for the case study utilizing Clearpath Huskey, Turtlebot, Hector-drone and AR drone are presented in Sect.
