“…π represents the j-th interval of the moving variance, with π ranging from 0 to π β 1, and π is the sliding window radius, which is set to 20 in this paper. We traverse the entire data range and take the square of the firstorder difference of the moving variance, right-shifted one data position after, i.e., πΆππΌ π£ππ ππππ2 ,π = (πΆππΌ π£ππ,π+1 β πΆππΌ π£ππ,π ) 2 , to obtain the mutation or edge in the moving variance. After that, we take the average of πΆππΌ π£ππ ππππ2 ,π , traverse the coordinate axis from positive and negative directions, and find the coordinates when πΆππΌ π£ππ ππππ2 ,π is greater than a certain multiple of the average value.…”