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We present a method to characterize vertical cracks that combines lock-in vibrothermography experiments and a stabilized inversion algorithm. We analyze its capability to retrieve the shape and location of square flaws buried at increasing depths and its ability to resolve two square buried cracks by inverting synthetic data. The predictions on the reconstruction of single and double cracks are checked by inverting experimental data obtained from metallic samples containing calibrated cracks at low excitation powers. Experimental results confirm that the method is able to reconstruct square heat sources whose depth is twice the lateral dimension. In this article, we present an algorithm to find the first K shortest unique-arc walks in a traffic-light network. Each node of the present network is associated with a repeated sequence of different windows to model operations of traffic signals and intersection Fake Beats Pro Canada movements. Unlike conventional simple or looping paths, we refer to the Cheap Beats Canada paths in this paper as unique-arc walks because they may include repeated nodes but will exclude repeated arcs. Using the heap structure, we develop an algorithm to find the first K shortest unique-arc walks in time O(Kr|V|3|A|), where |V| is the number of nodes, |A| is the number of arcs, and r represents the number of different windows associated with a node.