0000000000922479
AUTHOR
Francisco Verdejo
Optimizing the level of service quality of a bike-sharing system
Public bike-sharing programs have been deployed in hundreds of cities worldwide, improving mobility in a socially equitable and environmentally sustainable way. However, the quality of the service is drastically affected by imbalances in the distribution of bicycles among stations. We address this problem in two stages. First, we estimate the unsatisfied demand (lack of free lockers or lack of bicycles) at each station for a given time period in the future and for each possible number of bicycles at the beginning of the period. In a second stage, we use these estimates to guide our redistribution algorithms. Computational results using real data from the bike-sharing system in Palma de Mall…
FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics
Abstract Background The early identification of influenza outbreaks has became a priority in public health practice. A large variety of statistical algorithms for the automated monitoring of influenza surveillance have been proposed, but most of them require not only a lot of computational effort but also operation of sometimes not-so-friendly software. Results In this paper, we introduce FluDetWeb, an implementation of a prospective influenza surveillance methodology based on a client-server architecture with a thin (web-based) client application design. Users can introduce and edit their own data consisting of a series of weekly influenza incidence rates. The system returns the probabilit…
Adicion al Memorial ajustado de los Autos que en grado de suplicación, y por caso de Corte sigue el Concejo, Justicia y Regimiento del lugar del Grao ... con esta ciudad, su Cabildo y Regimiento, en que hace parte el Fiscal de su Magestad, sobre pretender aquel haga el Real Acuerdo el nombramiento de Alcalde ordinario, Regidores y demás oficiales del gobierno, con el preciso título de Villanueva del Grao ... : mandada imprimir por Auto de la Sala de 24 de Noviembre de 1795.
Signat a la fi per Lic. Francisco Verdejo [et al. Text amb postil·les marginals
A probabilistic expert system for predicting the risk of Legionella in evaporative installations
Research highlights? The bacterium Legionella usually lives in water sources such as cooling towers. ? We discuss a probabilistic expert system for predicting the risk of Legionella. ? The expert system has a master-slave architecture. ? The inference engine is implemented through Bayesian reasoning. ? Bayesian networks model and connect relationships for chemical and physical variables. Early detection in water evaporative installations is one of the keys to fighting against the bacterium Legionella, the main cause of Legionnaire's disease. This paper discusses the general structure, elements and operation of a probabilistic expert system capable of predicting the risk of Legionella in rea…