Background and objective: Nurses who return to school obtain higher education come with varying levels of professional, educational technological competencies. Some are new graduates, others have not been in for a decade, several find technology difficult navigate. Returning can be challenging because graduate programs require complex skills order students succeed. Onboarding, the process organ...

Wireless sensors and actuator networks (WSNs) are the physical layer implementation used for many smart applications in this decade form of Internet Things (IoT) cyber-physical systems (CPS). Even though research concerns WSNs have been answered, evolution WSN into an IoT network has exposed it to new technical issues, including data security, multi-sensory multi-communication capabilities, ene...

Particle Swarm Optimization algorithm is based on iterative optimization tools, system initialization of a group of random solutions, through iterative search for the optimal value. The basic idea of the fuzzy C-means clustering algorithm is to determine each sample data belonging to a certain degree of clustering, and the degree of membership of sample data is grouped into a cluster. Favor opt...

So far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is Particle Swarm Optimization (PSO). Prior some efforts by applying fuzzy logic for improving defects of PSO such as trapping in local optimums and early convergence has been done. Moreover to overcome the problem of i...

this paper describes a methodology in designing high-performance concrete for simply supported beams, using a hybrid optimization strategy based on a variable neighborhood search threshold acceptance algorithm. three strategies have been applied to discrete optimization of reinforced concrete beams: variable neighborhood descent (vnd), reduced neighborhood search (rns) and basic variable neighb...