Search

The article focuses on the model traffic with a combination of queuing theory and cellular automata in order the order the optimum number of tollbooths. The number of cars that arrived in the toll plaza is analytically described in a Poisson process can be managed through the modified Nagel-Schreckenberg cellular automata scheme. The consistency of the model with a variety of theory and experiment suggests that its accurate and robust. The changes in the distribution of the tollbooth wait time and the probability of random braking does not significantly alter the recommendations.

The article presents information on fingerprint identification. Fingerprint identification depends on the assumption that a person's fingerprints are unique. Experts assess the truth of this assumption by calculating the total number of distinct fingerprints. Comparing small features (minutiae) such as ridge endings and bifurcations within a fingerprint is a typical method for recognition of identity, and it provides very good accuracy. The ridge-counting algorithm, which estimates the number of concentric ridges in an image, supplies useful empirical results to support and validate the theoretical work. Most fingerprints are essentially concentric curves around a central part of the print, the ridge core. To find the number of ridges, one can begin at the core and move outwards, counting the ridges crossed in the path. Unfortunately, automatically determining the core location is difficult.