Random inspection schedules with non-decreasing intensity

Random Walks with Decreasing Steps

We consider a one-dimensional random walk beginning at the origin and moving ± cn at time n. If ∑ cn < ∞ then with probability one the random walk has a final location. We describe the distribution of the final location and find the cumulants and the moments in terms of the power sums of the step sizes. Some interesting definite integrals involving infinite products of trigonometric functions c...

Robotic Non-Destructive Inspection

Automation of non-destructive testing (NDT) of engineering components and structures represents one of the strategic objectives of many industries. It enables increases in accuracy, precision and speed of inspection while reducing production time and associated labour costs in contrast to manual inspection. The use of robots can provide additional flexibility and autonomy to automated NDT. Auto...

Decreasing the Randomness of Random Forests

The Random Forest algorithm is an ensemble technique that can achieve high accuracy on classification and regression with minimal tuning of parameters. This paper analyzes the effectiveness of the Random Forest classification algorithm under decreasing randomness in the bootstrap sampling procedure, in increasing tournament size, and in tournament participant selection.

Manufacturing to Order with Random Yield and Costly Inspection

region based active contour model based on markov random field to segment images with intensity non-uniformity and noise

this paper represents a new region-based active contour model that can be used to segment images with intensity non-uniformity and high level noise. the main idea of our proposed method is to use gaussian distributions with different means and variances with incorporation of intensity non-uniformity model for image segmentation. in order to integrate the spatial information between neighboring ...