Mapping energy efficiency barriers

In the E2KW Conference we present the research we are following in collaboration with ANESE (Asociación de Empresas de Servicios Energéticos) to check the interaction among barriers that previous studies have identified. We focus our research question in the information problems that include a number of specific problems such as lack of information, asymmetric information and the well-documented principle-agent problem. Asymmetric information problems occur when one party involved in a transaction has more information that the other, which may lead to suboptimal energy decisions. The fact that energy efficiency cannot be observed (ie. it is ?invisible?) further intensifies this asymmetric information barrier.

UER technique: conceptualisation for agent oriented development

The problem of conceptualisation is the first step towards the identication of the functional requirements of a system. This article proposes two extensions of well-known object oriented techniques: UER (User-Environment-Responsibility) technique and enhanced CRC (Class-ResponsibilityCollaboration) cards. UER technique consists of (a) looking for the users of systems and describing the ways the system is used; (b) looking for the objects of the environment and describing the possible interactions; and (c) looking for the general requirements or goals of the system, the actions that it should carry out without explicit interaction. The enhanced CRC cards together with the internal use cases technique is used for dening collaborations between agents. These techniques can be easily integrated in UML (Unied Modelling Language) [2], dening the new notation symbols as stereotypes.

Estudio experimental sobre la efectividad y la viabilidad de distintas soluciones constructivas para reducir la concentración de gas radón en edificaciones

El trabajo de investigación desarrollado que ha dado lugar a la realización de esta Tesis, aborda la protección de los edificios frente a la entrada de gas radón y su acumulación en los espacios habitados. Dicho gas (isótopo del radón Rn-222) es un elemento radiactivo que se genera, principalmente, en terrenos con altos contenidos de radio (terrenos graníticos por ejemplo). Su alto grado de movilidad permite que penetre en los edificios a través de los materiales de cerramiento del mismo (porosidad de los materiales, fisuras, grietas y juntas) y se acumule en su interior, donde puede ser inhalado en altas concentraciones. La Organización Mundial de la Salud, califica al radón como agente cancerígeno de grado 1. Según este Organismo, el radón es la segunda causa de contracción de cáncer pulmonar detrás del tabaco. Como respuesta a esta alarma, distintos estados ya han elaborado normativas en las que se proponen soluciones para que los niveles de concentración de radón no superen los valores recomendados por los organismos internacionales responsables de la protección radiológica. En España aún no existe normativa de protección frente a este agente cancerígeno causante de numerosas muertes, y es por tal motivo evidente la necesidad de aportar documentación técnica que ayude a las administraciones nacionales y locales a desarrollar dicha normativa para ajustarse a las recomendaciones europeas e internacionales sobre los niveles que no se deben superar y que, por otro lado, ya han contemplado una gran cantidad de países. Como principal aportación de este trabajo se muestran los resultados de reducción de concentración de gas radón de distintas soluciones constructivas enfocadas a frenar la entrada de gas radón al interior de los edificios haciendo uso de técnicas y materiales habituales en el ámbito de la construcción en España. Para ello, se han estudiado las efectividades de dichas soluciones, en lo referente a su capacidad para frenar la inmisión de radón, en un prototipo de vivienda construido al efecto en un terreno con altas concentraciones de radón. Las soluciones propuestas y ensayadas han sido el resultado de una labor de optimización de los sistemas estudiados en la bibliografía con el fin de adaptar las técnicas a los sistemas constructivos habituales en España y en concreto a la situación real del prototipo de vivienda construido en un lugar con contenidos de radón en terreno muy elevados. El trabajo incluye un capítulo inicial con los conceptos básicos necesarios para entender la problemática que supone habitar en espacios con altos contenidos de radón. ABSTRACT The research developed, which has led to the completion of this thesis, deal with the protection of buildings against entry of radon gas and its accumulation in the ocupated spaces. This gas (radon isotope Rn-222) is a radioactive element generated, mainly, in areas with high levels of radio (granitic terrain for example). Its high mobility allows entering in buildings through the enclosure materials of it (porosity of materials, cracks, crevices and joints) and accumulates inside, where it can be inhaled in high concentrations. The World Health Organization describes radon gas as a carcinogen agent in level 1. According to this Agency, radon is the second leading cause of lung cancer behind tobacco. In response to this alarm, some states have developed regulations that propose solutions to reduce radon concentration levels for not exceeding the values recommended by international agencies responsible in radiation protection. In Spain there is still no legislation to protect against this carcinogen element that cause numerous deaths, and for that reason it is evident the need to provide technical documentation to help the national and local governments to develop legislation for reaching the European and international levels recommendations. As the main contribution of this work are the results of reducing radon concentration using different constructive solutions aimed to stop radon entry in buildings, with techniques and materials common in Spain. To do this, effectiveness of such solutions, have been studied in terms of its ability to stop radon entry in a housing prototype built for this purpose in an area with high radon levels. The solutions proposed and tested have been the result of a process of optimization of systems studied in the literature in order to adapt the techniques to Spanish building material and, specifically, to the actual situation of housing prototype built in a place with high contents of radon in soil. The work includes an initial chapter with the basic concepts needed to understand the problem of living in areas with high levels of radon.

Multi-agent location system in wireless networks

In this paper we propose a flexible Multi-Agent Architecture together with a methodology for indoor location which allows us to locate any mobile station (MS) such as a Laptop, Smartphone, Tablet or a robotic system in an indoor environment using wireless technology. Our technology is complementary to the GPS location finder as it allows us to locate a mobile system in a specific room on a specific floor using the Wi-Fi networks. The idea is that any MS will have an agent known at a Fuzzy Location Software Agent (FLSA) with a minimum capacity processing at its disposal which collects the power received at different Access Points distributed around the floor and establish its location on a plan of the floor of the building. In order to do so it will have to communicate with the Fuzzy Location Manager Software Agent (FLMSA). The FLMSAs are local agents that form part of the management infrastructure of the Wi-Fi network of the Organization. The FLMSA implements a location estimation methodology divided into three phases (measurement, calibration and estimation) for locating mobile stations (MS). Our solution is a fingerprint-based positioning system that overcomes the problem of the relative effect of doors and walls on signal strength and is independent of the network device manufacturer. In the measurement phase, our system collects received signal strength indicator (RSSI) measurements from multiple access points. In the calibration phase, our system uses these measurements in a normalization process to create a radio map, a database of RSS patterns. Unlike traditional radio map-based methods, our methodology normalizes RSS measurements collected at different locations on a floor. In the third phase, we use Fuzzy Controllers to locate an MS on the plan of the floor of a building. Experimental results demonstrate the accuracy of the proposed method. From these results it is clear that the system is highly likely to be able to locate an MS in a room or adjacent room.

Development of the infrastructure for a multi-agent traffic management system simulation

This document contains detailed description of the design and the implementation of a multi-agent application controlling traffic lights in a city together with a system for simulating traffic and testing. The goal of this thesis is to design and build a simplified intelligent and distributed solution to the problem with the traffic in the big cities following different good practices in order to allow future refining of the model of the real world. The problem of the traffic in the big cities is still a problem that cannot be solved. Not only is the increasing number of cars a reason for the traffic jams, but also the way the traffic is organized. Usually, the intersections with traffic lights are replaced by roundabouts or interchanges to increase the number of cars that can cross the intersection in certain time. But still there are places where the infrastructure cannot be changed and the traffic light semaphores are the only way to control the car flows. In real life, the traffic lights have a predefined plan for change or they receive information from a centralized system when and how they have to change. But what if the traffic lights can cooperate and decide on their own when and how to change? Using this problem, the purpose of the thesis is to explore different agent-based software engineering approaches to design and build a non-conventional distributed system. From the software engineering point of view, the goal of the thesis is to apply the knowledge and use the skills, acquired during the various courses of the master program in Software Engineering, while solving a practical and complex problem such as the traffic in the cities.

Class-Conditional Probabilistic Principal Component Analysis: application to gender recognition

Este trabajo presenta una solución al problema del reconocimiento del género de un rostro humano a partir de una imagen. Adoptamos una aproximación que utiliza la cara completa a través de la textura de la cara normalizada y redimensionada como entrada a un clasificador Näive Bayes. Presentamos la técnica de Análisis de Componentes Principales Probabilístico Condicionado-a-la-Clase (CC-PPCA) para reducir la dimensionalidad de los vectores de características para la clasificación y asegurar la asunción de independencia para el clasificador. Esta nueva aproximación tiene la deseable propiedad de presentar un modelo paramétrico sencillo para las marginales. Además, este modelo puede estimarse con muy pocos datos. En los experimentos que hemos desarrollados mostramos que CC-PPCA obtiene un 90% de acierto en la clasificación, resultado muy similar al mejor presentado en la literatura---ABSTRACT---This paper presents a solution to the problem of recognizing the gender of a human face from an image. We adopt a holistic approach by using the cropped and normalized texture of the face as input to a Naïve Bayes classifier. First it is introduced the Class-Conditional Probabilistic Principal Component Analysis (CC-PPCA) technique to reduce the dimensionality of the classification attribute vector and enforce the independence assumption of the classifier. This new approach has the desirable property of a simple parametric model for the marginals. Moreover this model can be estimated with very few data. In the experiments conducted we show that using CCPPCA we get 90% classification accuracy, which is similar result to the best in the literature. The proposed method is very simple to train and implement.

Application of Agent Technology for Fault Diagnosis of Telecommunication Networks

La presente tesis doctoral contribuye al problema del diagnóstico autonómico de fallos en redes de telecomunicación. En las redes de telecomunicación actuales, las operadoras realizan tareas de diagnóstico de forma manual. Dichas operaciones deben ser llevadas a cabo por ingenieros altamente cualificados que cada vez tienen más dificultades a la hora de gestionar debidamente el crecimiento exponencial de la red tanto en tamaño, complejidad y heterogeneidad. Además, el advenimiento del Internet del Futuro hace que la demanda de sistemas que simplifiquen y automaticen la gestión de las redes de telecomunicación se haya incrementado en los últimos años. Para extraer el conocimiento necesario para desarrollar las soluciones propuestas y facilitar su adopción por los operadores de red, se propone una metodología de pruebas de aceptación para sistemas multi-agente enfocada en simplificar la comunicación entre los diferentes grupos de trabajo involucrados en todo proyecto de desarrollo software: clientes y desarrolladores. Para contribuir a la solución del problema del diagnóstico autonómico de fallos, se propone una arquitectura de agente capaz de diagnosticar fallos en redes de telecomunicación de manera autónoma. Dicha arquitectura extiende el modelo de agente Belief-Desire- Intention (BDI) con diferentes modelos de diagnóstico que gestionan las diferentes sub-tareas del proceso. La arquitectura propuesta combina diferentes técnicas de razonamiento para alcanzar su propósito gracias a un modelo estructural de la red, que usa razonamiento basado en ontologías, y un modelo causal de fallos, que usa razonamiento Bayesiano para gestionar debidamente la incertidumbre del proceso de diagnóstico. Para asegurar la adecuación de la arquitectura propuesta en situaciones de gran complejidad y heterogeneidad, se propone un marco de argumentación que permite diagnosticar a agentes que estén ejecutando en dominios federados. Para la aplicación de este marco en un sistema multi-agente, se propone un protocolo de coordinación en el que los agentes dialogan hasta alcanzar una conclusión para un caso de diagnóstico concreto. Como trabajos futuros, se consideran la extensión de la arquitectura para abordar otros problemas de gestión como el auto-descubrimiento o la auto-optimización, el uso de técnicas de reputación dentro del marco de argumentación para mejorar la extensibilidad del sistema de diagnóstico en entornos federados y la aplicación de las arquitecturas propuestas en las arquitecturas de red emergentes, como SDN, que ofrecen mayor capacidad de interacción con la red. ABSTRACT This PhD thesis contributes to the problem of autonomic fault diagnosis of telecommunication networks. Nowadays, in telecommunication networks, operators perform manual diagnosis tasks. Those operations must be carried out by high skilled network engineers which have increasing difficulties to properly manage the growing of those networks, both in size, complexity and heterogeneity. Moreover, the advent of the Future Internet makes the demand of solutions which simplifies and automates the telecommunication network management has been increased in recent years. To collect the domain knowledge required to developed the proposed solutions and to simplify its adoption by the operators, an agile testing methodology is defined for multiagent systems. This methodology is focused on the communication gap between the different work groups involved in any software development project, stakeholders and developers. To contribute to overcoming the problem of autonomic fault diagnosis, an agent architecture for fault diagnosis of telecommunication networks is defined. That architecture extends the Belief-Desire-Intention (BDI) agent model with different diagnostic models which handle the different subtasks of the process. The proposed architecture combines different reasoning techniques to achieve its objective using a structural model of the network, which uses ontology-based reasoning, and a causal model, which uses Bayesian reasoning to properly handle the uncertainty of the diagnosis process. To ensure the suitability of the proposed architecture in complex and heterogeneous environments, an argumentation framework is defined. This framework allows agents to perform fault diagnosis in federated domains. To apply this framework in a multi-agent system, a coordination protocol is defined. This protocol is used by agents to dialogue until a reliable conclusion for a specific diagnosis case is reached. Future work comprises the further extension of the agent architecture to approach other managements problems, such as self-discovery or self-optimisation; the application of reputation techniques in the argumentation framework to improve the extensibility of the diagnostic system in federated domains; and the application of the proposed agent architecture in emergent networking architectures, such as SDN, which offers new capabilities of control for the network.