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There is a wide variety of industrial processes that waste a great deal of energy. These processes have been optimized to a large extent and work is continuing to prevent this energy from being wasted. One of the activities in which the greatest amount of energy is wasted occurs in power plants during power generation processes. This energy can be used to cover the energy needs of other activities, so that there is no additional expense in obtaining this energy. In order to be able to reuse this energy, it is necessary to deploy an infrastructure that allows the energy to be channeled to the target location, while monitoring and managing the amount of energy to be reused according to the needs of the secondary activity at any given time. Agricultural activities in greenhouses often require large amounts of energy to recreate the climatic conditions that crops need. An agent based system has been developed that manages energy and allows its reuse. This paper presents the results obtained from the simulation of a system that allows a power plant to reuse energy and how the agents that make up the system use communication with sensors and actuators and the use of data analysis algorithms to allow this energy to be used in greenhouses, providing a reduction in the energy they need without the system.

Localization in harsh environments constitutes one of the main pillars for the provision of context-aware services in gerontechnology. The dual perspective followed to meet this goal comprises fingerprinting and ranging techniques. Fingerprinting is well suited for critical areas where the high accuracy needed justifies an exhaustive calibration effort. Ranging is more adequate for non-critical spaces where lower accuracy requirements favor easy-to-deploy alternatives. This paper presents a generalized Bayesian framework for wireless localization that integrates fingerprinting and ranging. The evaluation of this framework under realistic conditions showed a remarkable improvement over state-of-the-art techniques and enabled real-time patient tracking for gerontechnology.

[EN] The way in which the Internet of Things and the Web of Things improve everyday objects may seem obvious; elements that make up our daily life are increasingly interconnected and it is becoming more common for us to be surrounded by them. However, the possibilities these technologies offer are not only limited to routinely used objects. By adapting these still emerging technologies, any kind of an object can achieve better performance. They can, for example be applied to research tools, to obtain faster search results and improve the user's experience. The presented work follows these lines; we present a Web-operated machine for the study of the behaviour of certain animals. In addition, the proposed architecture favours the addition of cognitive abilities, due to the inclusion of a Multi-Agent System.