A low complexity system based on multiple weighted decision trees for indoor localization

[EN] Indoor position estimation has become an attractive research topic due to growing interest in location-aware services. Nevertheless, satisfying solutions have not been found with the considerations of both accuracy and system complexity. From the perspective of lightweight mobile devices, they are extremely important characteristics, because both the processor power and energy availability are limited. Hence, an indoor localization system with high computational complexity can cause complete battery drain within a few hours. In our research, we use a data mining technique named boosting to develop a localization system based on multiple weighted decision trees to predict the device location, since it has high accuracy and low computational complexity.

Location-price competition with externality: an application to the Tenerife tram

[EN] This paper presents a location–price equilibrium problem on a tree. A sufficient condition for having a Nash equilibrium in a spatial competition model that incorporates price, transport, and externality costs is given. This condition implies both competitors are located at the same point, a vertex that is the unique median of the tree. However, this is not an equilibrium necessary condition. Some examples show that not all medians are equilibria. Finally, an application to the Tenerife tram is presented.

Sistemas "Workflow" y BPM ("Business Process Management") como herramientas para la automatización y mejora de la productividad en las organizaciones: metodología para la implantación y casos de estudio

Programa de doctorado de Gestión en la Nueva Economía. La fecha de publicación es la fecha de lectura

Modelo para planificar e implantar la BPM en la Administración Pública: estudio del caso en la Administración Pública de la Comunidad Autónoma de Canarias

Programa de doctorado: Administración y dirección de empresas. La fecha de publicación es la fecha de lectura