A nice feature of the method is that an anatomical contribution coefficient tends to be proportional to the ion intensity in that anatomical structure, inherently assigning a notion of importance or weight to each anatomical zone involved.
In this paper, a Takagi Sugeno (T S) fuzzy system is designed to determine the contribution coefficient of variable speed wind turbine in such a way that variable wind turbine shares the maximum value of its inertia to compensate the reduced production in the power grid.
Each contribution coefficient can be considered to report a degree of membership of an ion to a particular structure.
The model we employ in our algorithm considers an ion image to be a sum of products, each product multiplying a pattern from the finite set of anatomical patterns with its contribution coefficient.
Specifically, we define and characterize the contribution coefficient for each band.
The adequacy of the model was calculated and the variables showing statically significant effects were screened on the basis of % contribution, coefficient estimate and P value.
In the proposed method, first, by using Particle Swarm Optimization (PSO) algorithm, the optimal values of contribution coefficient of wind turbines are attained proportional to the load in such a way that the minimum speed constraint is not violated.
Only when the contribution coefficient of the main production layer is greater than 30% and the contribution index of the other production layers is more than 10%, the economic benefit of a CBM well after being put into production can be ensured.
The multiplied term between IP3 and [m−m0]+ is to implement the hypothesis that the CS-US coupling may increase the efficacy of the slow component calcium kinetics (see below) with the baseline efficacy factor b and the coupling-induced contribution coefficient c of 1×10−3 and 0.1, respectively.
In essence, the interpretation algorithm provides for each ion image a set of contribution coefficients, one for each structure in the atlas.
