This paper describes a novel approach based on fuzzy logic technique for smoothing process on the unstructured meshes in 2D. The proposed method works local on triangulation. Therefore, remeshing does not require. It is known that other smoothing operations such as laplacian smoothing , optimization based smoothing, angle based smoothing, and hybrid smoothing operations work global. That is, in...

‎in this paper‎, ‎we present a novel approach for image selective smoothing by the evolution of two paired nonlinear‎ ‎partial differential equations‎. ‎the distribution coefficient in de-noising equation controls the speed of distribution‎, ‎and is‎ ‎determined by the edge-strength function‎. ‎in the previous works‎, ‎the edge-strength function depends on isotropic‎ ‎smoothing of the image‎...

This paper revisits the tragedy of the commons and examines the conditions under which externalities contribute to livestock cycles. Using a stylized intertemporal model capturing the main characteristics of African livestock producers, we show that externalities magnify livestock cycles triggered by occasional droughts. This is true even when producers are fully rational. Two forces fuel such ...

Optimized fuzzy-neuro system is proposed to improve performance of scheduling jobs in a wafer fabrication factory (WFF). Fluctuation smoothing rules are normalized. Remaining cycle time of a job is accurately estimated by applying selforganization map with fuzzy back propagation network (SOM-FBPN). Division operator is applied instead of traditional subtraction operator to enhance responsivenes...

We consider a class of smoothing methods for minimization problems where the feasible set is convex but the objective function is not convex, not differentiable and perhaps not even locally Lipschitz at the solutions. Such optimization problems arise from wide applications including image restoration, signal reconstruction, variable selection, optimal control, stochastic equilibrium and spheric...

Although the simple assembly line balancing problem (SALBP) is the topic of many studies, typically they either consider minimizing the number of stations for a given cycle time (called type one), or minimizing the cycle time for a given number of stations (called type two). Rarely, type E of the problem has been considered. In the type E, cycle time and number of stations are both decision var...