Juan Francisco de Paz Santana

Retrieving Learning Resources over the Cloud

Reusing resources has been on the rise recently in the ICT sector. In fact, this trend is expanding into other areas such as the educational sector. Learning objects have made it possible to create digital resources that can be reused in various didactic units. These resources are stored in repositories, and thus require a search process that allows them to be located and retrieved. The present study proposes the AIREH tool, which was deployed into a cloud environment and facilitates the retrieval of learning objects by integrating virtual organizations and agents with CBR systems that implement collaborative filtering techniques.

Smart Waste Collection Platform Based on WSN and Route Optimization

In this paper, we present the design and implementation of a novel agent-based platform to collect waste on cities and villages. A low cost sensor prototype is developed to measure the fulfilling level of the containers, a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their work. In order to evaluate and validate the proposed platform, a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the platform.

Agreement Technologies Applied to Transmission Towers Maintenance

In the context of Smart Cities, one of the main indispensable elements required by a city is the electric power, for which electric towers are used to distribute it. Transmission towers have electrodes which need to be reviewed on a regular basis by controlling its resistance in order to assure avoidable malfunctions not to appear. From the point of view of Smart Cities, it is possible to address this maintenance task by trying to minimize the cost of operation through the estimation of values and the reduction of the size of the population sample. To do so, the use of an intelligent-agent virtual-organization based architecture is proposed within this working environment, which by using mathematical estimation models and agreement based negotiations it is capable of maximizing the estimations, minimizing the associated cost. The proposed model is evaluated in a simulator through a real case study, which allows validating the proposed approach.