http://hdl.handle.net/10366/127389 2026-05-06T18:46:22Z 2026-05-06T18:46:22Z López Barriuso, Alberto Prieta Pintado, Fernando de la Lozano Murciego, Álvaro Hernández, Daniel Revuelta Herrero, Jorge http://hdl.handle.net/10366/130533 2025-04-30T21:03:40Z 2015-12-22T00:00:00Z

Nowadays, the vertiginous progress of technology has led society to demand lower response times in general, but in press in particular. For this reason, media groups have to face a big challenge in order to facilitate their employees the technical means that enable professionals in the media sector to face the new communication models. In this article, we face this problem and present a novel system based on Virtual Organizations of agents and Cloud Computing in order to improve the organization, management and distribution of media contents.

2015-12-22T00:00:00Z Lozano Murciego, Álvaro Villarrubia González, Gabriel López Barriuso, Alberto Hernández de la Iglesia, Daniel Revuelta Herrero, Jorge http://hdl.handle.net/10366/130532 2025-04-30T21:03:40Z 2015-12-22T00:00:00Z

Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.

2015-12-22T00:00:00Z Chamoso Santos, Pablo Prieta Pintado, Fernando de la Villarrubia González, Gabriel http://hdl.handle.net/10366/130531 2023-06-13T15:13:32Z 2015-06-22T00:00:00Z

The use of high voltage power lines transport involves some risks that may be avoided with periodic reviews as imposed by law in most countries. The objective of this work is to reduce the number of these periodic reviews so that the maintenance cost of power lines is also reduced. To reduce the number of transmission towers (TT) to be reviewed, a virtual organization (VO) based system of agents is proposed in conjunction with different artificial intelligence methods and algorithms. This system is able to propose a sample of TT from a selected set to be reviewed and to ensure that the whole set will have similar values without needing to review all the TT. As a result, the system provides a software solution to manage all the review processes and all the TT of Spain, allowing the review companies to use the application either when they initiate a new review process for a whole line or area of TT, or when they want to place an entirely new set of TT, in which case the system would recommend the best place and the best type of structure to use.

2015-06-22T00:00:00Z Adcaij, Editorial Team http://hdl.handle.net/10366/130530 2025-04-30T21:03:40Z 2015-12-06T00:00:00Z

ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2015, vol. 4, n. 4, pp. I-II.

2015-12-06T00:00:00Z Silveira, Ricardo Azambuja Comarella, Rafaela Lunardi Campos, Ronaldo Lima Rocha Vian, Jonas Prieta Pintado, Fernando de la http://hdl.handle.net/10366/130529 2025-04-30T21:03:40Z 2015-12-24T00:00:00Z

This paper discusses some important issues regarding the the management of Learning objects covering searching over repositories and different approaches of recommendation systems and presents a multiagent system based application model for indexing, retrieving and recommending learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata (data about data) standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the relevance of the results we propose an information retrieval model based on a multiagent system approach and an ontological model to describe the covered knowledge domain.

2015-12-24T00:00:00Z Revuelta Herrero, Jorge Villarrubia González, Gabriel Barriuso, Alberto L. Hernández, Daniel Lozano, Álvaro Serna González, Marco Antonio de la http://hdl.handle.net/10366/130528 2025-04-30T21:03:39Z 2015-12-22T00:00:00Z

Throughout the last years, great improvements have been made in the automotive industry, a sector with a high impact in both economics and social environments. Many development efforts have targeted on satisfying the need of providing smart environments to the end user in vehicles, such as cars. This paper proposes a brand-new solution in the automotive field, consisting of a new product family which aims to transform the traditional bicycle to an electric bicycle using an architecture that provides an adaptive environment to the user, improving the driving experience enabling value-added services.

2015-12-22T00:00:00Z González Briones, Alfonso Ramos González, Juan De Paz, Juan F. http://hdl.handle.net/10366/130527 2023-06-13T15:13:05Z 2015-06-28T00:00:00Z

Tests to detect the use of illegal substances among drivers are becoming more common. During these tests, a saliva test is performed and agents observe the driver to determine whether or not they are driving under the influence of psychoactive substances. During the joint control of alcohol and drugs, a breath test is performed followed by a saliva test. In addition, agents use a previously established observation questionnaire to evaluate external signs that the driver may present. This review aims to help expand and improve the questionnaire administered by the traffic officer to the driver, so that upon completing the questionnaire as indicated, it is possible to determine which drug corresponds to the symptoms displayed by the driver. The diagnosis will be facilitated by a software tool that employs the use of decision trees whose gain function has been modified to give different weights to signs and methods. A study was conducted on the symptoms and observable and/or easily detectable signs of drugs detected at sobriety checkpoints. This has enabled the creation of a test that determines the substance consumed by the driver. The proposal facilitates the detection of drugs with the data gathered from the test.

2015-06-28T00:00:00Z Julián, Vicente Navarro, Martí Botti, Vicente Heras, Stella http://hdl.handle.net/10366/130526 2025-04-30T21:03:39Z 2015-12-22T00:00:00Z

In this paper, we deal with the problem of real-time coordination with the more general approach of reaching real-time agreements in MAS. Concretely, this work proposes a real-time argumentation framework in an attempt to provide agents with the ability of engaging in argumentative dialogues and come with a solution for their underlying agreement process within a bounded period of time. The framework has been implemented and evaluated in the domain of a customer support application. Concretely, we consider a society of agents that act on behalf of a group of technicians that must solve problems in a Technology Management Centre (TMC) within a bounded time. This centre controls every process implicated in the provision of technological and customer support services to private or public organisations by means of a call centre. The contract signed between the TCM and the customer establishes penalties if the specified time is exceeded.

2015-12-22T00:00:00Z Chamoso Santos, Pablo Prieta Pintado, Fernando de la http://hdl.handle.net/10366/130110 2023-06-13T15:13:28Z 2015-06-22T00:00:00Z

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.

2015-06-22T00:00:00Z Gómez Zotano, Manuel Goméz-Sanz, Jorge Pavón, Juan http://hdl.handle.net/10366/130109 2025-04-30T21:03:39Z 2015-06-22T00:00:00Z

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.

2015-06-22T00:00:00Z Silveira, Ricardo Azambuja Bitencourt, Guilherme Klein Da Silva Gelaim, Thiago Ângelo Marchi, Jerusa Prieta Pintado, Fernando de la http://hdl.handle.net/10366/130108 2025-04-30T21:03:39Z 2015-06-22T00:00:00Z

 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.

2015-06-22T00:00:00Z Román Gallego, Jesús Ángel Rodríguez González, Sara http://hdl.handle.net/10366/130107 2023-06-13T15:13:25Z 2015-06-22T00:00:00Z

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.

2015-06-22T00:00:00Z Hernández de la Iglesia, Daniel Villarrubia González, Gabriel López Barriuso, Alberto Lozano Murciego, Álvaro Revuelta Herrero, Jorge http://hdl.handle.net/10366/130106 2025-04-30T21:03:38Z 2015-06-06T00:00:00Z

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.

2015-06-06T00:00:00Z López Sánchez, Daniel Revuelta Herrero, Jorge Prieta Pintado, Fernando de la Dang, Cach http://hdl.handle.net/10366/130105 2025-04-30T21:03:38Z 2015-06-06T00:00:00Z

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.   

2015-06-06T00:00:00Z Castellanos Garzón, José Antonio Ramos González, Juan http://hdl.handle.net/10366/130104 2023-06-13T15:13:23Z 2015-06-06T00:00:00Z

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.

2015-06-06T00:00:00Z Adcaij, Editorial Team http://hdl.handle.net/10366/130103 2025-04-30T21:03:38Z 2015-06-22T00:00:00Z 2015-06-22T00:00:00Z