@article{Viegas_Barbosa_Kunst_Heckler_2021, title={UFollower: A Model for Smart Cities Based on Ubiquitous Security and Surveillance}, volume={19}, url={https://latamt.ieeer9.org/index.php/transactions/article/view/4922}, abstractNote={<p>Crime is one of the most critical problems in urban centers, especially in large cities. In this sense, technological solutions are needed to provide security to citizens, contributing to the reduction of crime rates. The present work proposes the UFollower model (Ubiquitous Follower) which meets this scenario. The scientific contribution of this work consists of the use of Context Histories and User Profiles for data analysis focused on ubiquitous security. The use of prediction mechanisms and historical contexts allowed to reach up to 70.35% of inference rate for a particular crime (domestic violence). The comparison with the related works indicates that UFollower is the only proposal that presents the issue of public security with context histories and user profile management. The evaluation was conducted through scenarios, allowing to evaluate the related hypotheses. In this sense, a context simulator was built where twenty objects interacted to allow the evolution. Among them, there are people, vehicles, cameras, and wearables.</p>}, number={12}, journal={IEEE Latin America Transactions}, author={Viegas, Fábio and Barbosa, Jorge Luis Victória and Kunst, Rafael and Heckler, Wesllei Felipe}, year={2021}, month={May}, pages={2019–2027} }