This paper addresses the synthesis of labyrinthine and maze struc- tures, which are represented as curves on 2D manifolds. The curves evolve based on a simulation controlled by spatially varying param- eters defined by texture maps. We introduce the graphics commu- nity to the fascinating area of maze art and present a model for the automatic generation of organic looking labyrinths and mazes. We also present a framework based on regions and patterns for the inter- active artistic control of NPR algorithms, such as ours, that evolve in both space and time. In the context of labyrinths, the framework provides the designer with control over both the path complexity and visual aesthetics as the curves evolve. The resulting labyrinths and mazes range from mathematically simple to intricately complex visual structures. Applications of the resulting curves include NPR, difficult to counterfeit imagery, environmental design and architec- ture, computer games and 1D parameterization of 2D manifolds.

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Animated visualizations of data structures and algorithms.

The great mobility in the world tourism in recent years has also enabled this sector to be included among the study areas of big data. In this study, a solution proposal was put forward by using the big data and string similarity algorithms (SSA) for the problems arising from the entry of the hotel data coming from different providers into databases with different names and addresses.