http://hdl.handle.net/10366/130005 Wed, 22 Apr 2026 20:37:50 GMT 2026-04-22T20:37:50Z http://hdl.handle.net/10366/130110 This article presents an adaptive platform that can simulate the centralized control of different smart city areas. For example, public lighting and intelligent management, public zones of buildings, energy distribution, etc. It can operate the hardware infrastructure and perform optimization both in energy consumption and economic control from a modular architecture which is fully adaptable to most cities. Machine-to-machine (M2M) permits connecting all the sensors of the city so that they provide the platform with a perfect perspective of the global city status. To carry out this optimization, the platform offers the developers a software that operates on the hardware infrastructure and merges various techniques of artificial intelligence (AI) and statistics, such as artificial neural networks (ANN), multi-agent systems (MAS) or a Service Oriented Approach (SOA), forming an Internet of Services (IoS). Different case studies were tested by using the presented platform, and further development is still underway with additional case studies. Mon, 22 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130110 2015-06-22T00:00:00Z http://hdl.handle.net/10366/130109 Mass media websites can be worthy to understand user trends in web services. RTVE, the National Broadcaster in Spain is a sample of such kind of service. Trend points to a shorter user interaction over the last three years, and a more straight access to content. Besides the number of pages consumed in a visit is becoming smaller as well. This article reviews these trends with data obtained from public sources, and analyze the distribution of web pages in the client layer and the corresponding distribution observed in the server layer. The two distributions can be characterized by Zipf-like distributions and ?, the degree of disparity in the popularity distribution, is calculated for both. In all cases ? is higher to one implying a huge concentration of popularity on a few objects. Mon, 22 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130109 2015-06-22T00:00:00Z http://hdl.handle.net/10366/130108  Open multiagent systems are those in which the agents can enter or leave the system freely. In these systems any entity with unknown intention can occupy the environment. For this scenario trust and reputation mechanisms should be used to choose partners in order to request services or delegate tasks. Trust and reputation models have been proposed in the Multiagent Systems area as a way to assist agents to select good partners in order to improve interactions between them. Most of the trust and reputation models proposed in the literature take into account their functional aspects, but not how they affect the reasoning cycle of the agent. That is, under the perspective of the agent, a trust model is usually just a “black box” and the agents usually does not take into account their emotional state to make decisions as well as humans often do. As well as trust, agent’s emotions also have been studied with the aim of making the actions and reactions of the agents more like those of humans being in order to imitate their reasoning and decision making mechanisms. In this paper we analyse some proposed models found in the literature and propose a BDI and multi-context based agent model which includes emotional reasoning to lead trust and reputation in open multiagent systems. Mon, 22 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130108 2015-06-22T00:00:00Z http://hdl.handle.net/10366/130107 The distribution of services on multi-agent systems allows it to reduce to the agents their computational load. The functionality of the system does not reside in the agents themselves, however it is ubiquitously distributed so that allows you to perform tasks in parallel avoiding an additional computational cost to the elements in the system. The distribution of services that offers SCODA (Distributed and Specialized Agent Communities) allows an intelligent management of these services provided by agents of the system and the parallel execution of threads that allow to respond to requests asynchronously, which implies an improvement in the performance of the system at both the computational level as the level of quality of service in the control of these services. The comparison carried out in the case of study that is presented in this paper demonstrates the existing improvement in the distribution of services on systems based on SCODA. Mon, 22 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130107 2015-06-22T00:00:00Z http://hdl.handle.net/10366/130106 In the medical environment, the clinical study of the most basic vital signs of a patient represents the simplest and most effective way to detect and monitor health problems. There are many diseases that can be diagnosed and controlled through regular monitoring of these medical data. The purpose of this study is to develop a monitoring and tracking system for the various vital signs of a patient. In particular, this work focuses on the design of a multi-agent architecture composed of virtual organizations with capabilities to integrate different medical sensors on an open, low-cost hardware platform. This system integrates hardware and software elements needed for the routine measurement of vital signs, performed by the patient or caregiver without having to go to a medical center. Sat, 06 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130106 2015-06-06T00:00:00Z http://hdl.handle.net/10366/130105 In this paper, a novel framework for social user clustering is proposed. Given a current controversial political topic, the Louvain Modularity algorithm is used to detect communities of users sharing the same political preferences. The political alignment of a set of users is labeled manually by a human expert and then the quality of the community detection is evaluated against this gold standard. In the last section, we propose a novel force-directed graph algorithm to generate a visual representation of the detected communities.    Sat, 06 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130105 2015-06-06T00:00:00Z http://hdl.handle.net/10366/130104 Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS) remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper. Sat, 06 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130104 2015-06-06T00:00:00Z http://hdl.handle.net/10366/130103 Mon, 22 Jun 2015 00:00:00 GMT http://hdl.handle.net/10366/130103 2015-06-22T00:00:00Z