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The rise of free-to-play and other service-based business models in the online gaming market brought to game publishers problems usually associated to markets like mobile telecommunications and credit cards, especially customer churn. Predictive models have long been used to address this issue in these markets, where companies have a considerable amount of demographic, economic, and behavioral data...
Simulation-based optimization is an area where techniques from optimization and simulation analysis are integrated. This work uses a simulation based optimization technique to determine the best aircraft conceptual design according to the constraints imposed by the Society of Automotive Engineers (SAE) Aero Design competition. The optimization was performed by the Simulated Annealing (SA) algorithm...
The objective of this work is to present an object 3D reconstruction method using the point color information. The object 3D reconstruction is performed by combining point clouds obtained from different viewpoints using two cameras and a structured light projector. The main task is the point cloud registration algorithm that matches two point clouds. A well known algorithm for point cloud registration...
The mesh approximation of solid models is an important and necessary step for several applications. Particularly when surfaces with T-junctions are presented in the model. In this situation, the surface boundaries can have different number of segment approximations. Such a surface can be filled by an irregular mesh. The paving algorithm is one of the best mesh generators, however its implementation...
Coordinate metrology is inherently subject to a source of uncertainty due to an attempt to inspect an unknown surface based on a limited number of discrete observations called sampling points. The computation tasks required for this evaluation need to be designed and conducted to minimize the uncertainty factors during the inspection process. This work presents a novel sampling planning approach based...
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