Proposal of a three level complexity model for office automation

Office automation is one of the fields where the complexity related with technologies and working environments can be best shown. This is the starting point we have chosen to build up a theoretical model that shows us a scene quite different from the one traditionally considered. Through the development of the model, the levels of complexity associated with office automation and office environments have been identified, establishing a relationship between them. Thus, the model allows to state a general principle for sociotechnical design of office automation systems, comprising the ontological distinctions needed to properly evaluate each particular technology and its virtual contribution to office automation. From this fact comes the model's taxonomic ability to draw a global perspective of the state-of-art in office automation technologies.

Arquitectura de Control para la Conducción Autónoma de Vehículos en Entornos Urbanos y Autovías

Hoy en día, el desarrollo tecnológico en el campo de los sistemas inteligentes de transporte (ITS por sus siglas en inglés) ha permitido dotar a los vehículos con diversos sistemas de ayuda a la conducción (ADAS, del inglés advanced driver assistance system), mejorando la experiencia y seguridad de los pasajeros, en especial del conductor. La mayor parte de estos sistemas están pensados para advertir al conductor sobre ciertas situaciones de riesgo, como la salida involuntaria del carril o la proximidad de obstáculos en el camino. No obstante, también podemos encontrar sistemas que van un paso más allá y son capaces de cooperar con el conductor en el control del vehículo o incluso relegarlos de algunas tareas tediosas. Es en este último grupo donde se encuentran los sistemas de control electrónico de estabilidad (ESP - Electronic Stability Program), el antibloqueo de frenos (ABS - Anti-lock Braking System), el control de crucero (CC - Cruise Control) y los más recientes sistemas de aparcamiento asistido. Continuando con esta línea de desarrollo, el paso siguiente consiste en la supresión del conductor humano, desarrollando sistemas que sean capaces de conducir un vehículo de forma autónoma y con un rendimiento superior al del conductor. En este trabajo se presenta, en primer lugar, una arquitectura de control para la automatización de vehículos. Esta se compone de distintos componentes de hardware y software, agrupados de acuerdo a su función principal. El diseño de la arquitectura parte del trabajo previo desarrollado por el Programa AUTOPIA, aunque introduce notables aportaciones en cuanto a la eficiencia, robustez y escalabilidad del sistema. Ahondando un poco más en detalle, debemos resaltar el desarrollo de un algoritmo de localización basado en enjambres de partículas. Este está planteado como un método de filtrado y fusión de la información obtenida a partir de los distintos sensores embarcados en el vehículo, entre los que encontramos un receptor GPS (Global Positioning System), unidades de medición inercial (IMU – Inertial Measurement Unit) e información tomada directamente de los sensores embarcados por el fabricante, como la velocidad de las ruedas y posición del volante. Gracias a este método se ha conseguido resolver el problema de la localización, indispensable para el desarrollo de sistemas de conducción autónoma. Continuando con el trabajo de investigación, se ha estudiado la viabilidad de la aplicación de técnicas de aprendizaje y adaptación al diseño de controladores para el vehículo. Como punto de partida se emplea el método de Q-learning para la generación de un controlador borroso lateral sin ningún tipo de conocimiento previo. Posteriormente se presenta un método de ajuste on-line para la adaptación del control longitudinal ante perturbaciones impredecibles del entorno, como lo son los cambios en la inclinación del camino, fricción de las ruedas o peso de los ocupantes. Para finalizar, se presentan los resultados obtenidos durante un experimento de conducción autónoma en carreteras reales, el cual se llevó a cabo en el mes de Junio de 2012 desde la población de San Lorenzo de El Escorial hasta las instalaciones del Centro de Automática y Robótica (CAR) en Arganda del Rey. El principal objetivo tras esta demostración fue validar el funcionamiento, robustez y capacidad de la arquitectura propuesta para afrontar el problema de la conducción autónoma, bajo condiciones mucho más reales a las que se pueden alcanzar en las instalaciones de prueba. ABSTRACT Nowadays, the technological advances in the Intelligent Transportation Systems (ITS) field have led the development of several driving assistance systems (ADAS). These solutions are designed to improve the experience and security of all the passengers, especially the driver. For most of these systems, the main goal is to warn drivers about unexpected circumstances leading to risk situations such as involuntary lane departure or proximity to other vehicles. However, other ADAS go a step further, being able to cooperate with the driver in the control of the vehicle, or even overriding it on some tasks. Examples of this kind of systems are the anti-lock braking system (ABS), cruise control (CC) and the recently commercialised assisted parking systems. Within this research line, the next step is the development of systems able to replace the human drivers, improving the control and therefore, the safety and reliability of the vehicles. First of all, this dissertation presents a control architecture design for autonomous driving. It is made up of several hardware and software components, grouped according to their main function. The design of this architecture is based on the previous works carried out by the AUTOPIA Program, although notable improvements have been made regarding the efficiency, robustness and scalability of the system. It is also remarkable the work made on the development of a location algorithm for vehicles. The proposal is based on the emulation of the behaviour of biological swarms and its performance is similar to the well-known particle filters. The developed method combines information obtained from different sensors, including GPS, inertial measurement unit (IMU), and data from the original vehicle’s sensors on-board. Through this filtering algorithm the localization problem is properly managed, which is critical for the development of autonomous driving systems. The work deals also with the fuzzy control tuning system, a very time consuming task when done manually. An analysis of learning and adaptation techniques for the development of different controllers has been made. First, the Q-learning –a reinforcement learning method– has been applied to the generation of a lateral fuzzy controller from scratch. Subsequently, the development of an adaptation method for longitudinal control is presented. With this proposal, a final cruise control controller is able to deal with unpredictable environment disturbances, such as road slope, wheel’s friction or even occupants’ weight. As a testbed for the system, an autonomous driving experiment on real roads is presented. This experiment was carried out on June 2012, driving from San Lorenzo de El Escorial up to the Center for Automation and Robotics (CAR) facilities in Arganda del Rey. The main goal of the demonstration was validating the performance, robustness and viability of the proposed architecture to deal with the problem of autonomous driving under more demanding conditions than those achieved on closed test tracks.

Implementation of a building automation system based on semantic modeling

This paper presents an Ontology-Based multi-technology platform designed to avoid some issues of Building Automation Systems. The platform allows the integration of several building automation protocols, eases the development and implementation of different kinds of services and allows sharing information related to the infrastructure and facilities within a building. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

Bio-inspired enhancement of reputation systems for intelligent environments

Providing security to the emerging field of ambient intelligence will be difficult if we rely only on existing techniques, given their dynamic and heterogeneous nature. Moreover, security demands of these systems are expected to grow, as many applications will require accurate context modeling. In this work we propose an enhancement to the reputation systems traditionally deployed for securing these systems. Different anomaly detectors are combined using the immunological paradigm to optimize reputation system performance in response to evolving security requirements. As an example, the experiments show how a combination of detectors based on unsupervised techniques (self-organizing maps and genetic algorithms) can help to significantly reduce the global response time of the reputation system. The proposed solution offers many benefits: scalability, fast response to adversarial activities, ability to detect unknown attacks, high adaptability, and high ability in detecting and confining attacks. For these reasons, we believe that our solution is capable of coping with the dynamism of ambient intelligence systems and the growing requirements of security demands.

Home automation controller for a water-flow window

Facing the EU energy efficiency and legal scenarios related to buildings (2010/31 EU directive), new sustainable advanced concepts for envelopes are required. These innovative designs must be able to offer an elevated level of energy efficiency based on a high performance architecture. According to this, smart glazings, and particularly active water-flow glazings, represent a promising alternative to other solar control glazings, since they can reduce the building energy demand avoiding well known drawbacks as high cost, glare problems and high response time that affect to other smart glazings. This kind of glazing, as any other active one, needs to be operated by a control system. In order to operate a water-flow based window, a new controller based on an inexpensive microcontroller board has been developed

Background and approach to a definition of smart buildings

There is no doubt that there is no possibility of finding a single reference about domotics in the first half of the 20th century. The best known authors and those who have documented this discipline, set its origin in the 1970’s, when the x-10 technology began to be used, but it was not until 1988 when Larousse Encyclopedia decided to include the definition of "Smart Building". Furthermore, even nowadays, there is not a single definition widely accepted, and for that reason, many other expressions, namely "Intelligent Buildings" "Domotics" "Digital Home" or "Home Automation" have appeared to describe the automated buildings and homes. The lack of a clear definition for "Smart Buildings" causes difficulty not only in the development of a common international framework to develop research in this field, but it also causes insecurity in the potential user of these buildings. That is to say, the user does not know what is offered by this kind of buildings, hindering the dissemination of the culture of building automation in society. Thus, the main purpose of this paper is to propose a definition of the expression “Smart Buildings” that satisfactorily describes the meaning of this discipline. To achieve this aim, a thorough review of the origin of the term itself and the historical background before the emergence of the phenomenon of domotics was conducted, followed by a critical discussion of existing definitions of the term "Smart Buildings" and other similar terms. The extent of each definition has been analyzed, inaccuracies have been discarded and commonalities have been compared. Throughout the discussion, definitions that bring the term "Smart Buildings" near to disciplines such as computer science, robotics and also telecommunications have been found. However, there are also many other definitions that emphasize in a more abstract way the role of these new buildings in the society and the future of mankind.

Intelligent Therapy Assistant (ITA) for cognitive rehabilitation in patients with Acquired Brain Injury

This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant (ITA), which automatically selects, configures and schedules rehabilitation tasks for patients with cognitive impairments after an episode of Acquired Brain Injury. The ITA is integrated in "Guttmann, Neuro Personal Trainer" (GNPT), a cognitive tele-rehabilitation platform that provides neuropsychological services.

ExperNet: An Intelligent Multiagent System for WAN Management

This paper describes ExperNet, an intelligent multi-agent system that was developed under an EU funded project to assist in the management of a large-scale data network. ExperNet assists network operators at various nodes of a WAN to detect and diagnose hardware failures and network traffic problems and suggests the most feasible solution, through a web-based interface. ExperNet is composed by intelligent agents, capable of both local problem solving and social interaction among them for coordinating problem diagnosis and repair. The current network state is captured and maintained by conventional network management and monitoring software components, which have been smoothly integrated into the system through sophisticated information exchange interfaces. For the implementation of the agents, a distributed Prolog system enhanced with networking facilities was developed. The agents’ knowledge base is developed in an extensible and reactive knowledge base system capable of handling multiple types of knowledge representation. ExperNet has been developed, installed and tested successfully in an experimental network zone of Ukraine.

Metodología y criterios para evaluar la influencia de la domótica y su preinstalación en los edificios en función de los condicionantes constructivos y de la envolvente interior

La introducción de la automatización de servicios en los edificios de vivienda comenzó a implementarse a finales del siglo XX. Desde entonces, los edificios que incluyen instalaciones completas de automatización suelen conocerse como edificios domotizados o edificios inteligentes e implican la introducción en la arquitectura de tecnologías que hasta la fecha eran ajenas a ésta. El diseño de estos nuevos edificios de viviendas implica cada vez más el trabajo de equipos multidisciplinares y exige por parte del arquitecto la adquisición de nuevos conocimientos y herramientas proyectuales que aseguren la viabilidad constructiva de dichos servicios de automatización doméstica. La presente tesis tiene como objetivo determinar la influencia de la automatización de servicios domésticos en la fase de proyecto constructivo de los edificios para finalmente ofrecer al arquitecto herramientas, criterios y una metodología que le ayude a proyectar estos edificios satisfactoriamente. Esta influencia se evalúa y determina en función de los condicionantes constructivos, que se definen como aquellas consideraciones que el proyectista puede tener en cuenta en la fase de diseño o de concepción de un edificio. La metodología utilizada en esta investigación incluye el análisis conceptual y de contenidos de documentos normativos, técnicos, y de investigación así como un estudio de mercado de las aplicaciones más habituales en domótica. Finalmente la investigación se centra en la envolvente interior del edificio para determinar la influencia de los servicios de domotización no convencionales en el proyecto arquitectónico. Al margen de las aportaciones teóricas de esta investigación, las cuales se han propuesto para afianzar el marco teórico de la disciplina, los resultados obtenidos constatan que dicha influencia en la fase de proyecto existe y que es posible detectar qué condicionantes constructivos se derivan de la normativa de aplicación en este tipo de proyectos, de las nuevas tecnologías implicadas en las instalaciones de automatización y de los esfuerzos de estandarización de las asociaciones de empresas en el campo de la domótica. ABSTRACT The automation of services in residential buildings (also called home automation) began to be implemented in the late twentieth century. Since then, those buildings with full automation services are often known as intelligent buildings or smart buildings, and they imply the introduction into the architecture of technologies that where foreign to the field until then. The design of these new residential buildings increasingly involves the need of multidisciplinary teams and requires the architect to acquire new knowledge and project tools in order to ensure the constructability of such home automation services. This thesis pretends to determine the impact and influence of the introduction of home automation services in the design stage of residential buildings in order to, finally, provide the architect with the tools, criteria and methodology to help him design such projects successfully. This impact is evaluated and determined by the constructive constraints or factors implied, which are defined as those considerations that the designer may take into account in the conception and design stage of the project. The methodology used in this research includes conceptual and content analysis applied to normative and technical documents, regulatory standards and research papers, as well as a market survey of the most common applications and services in home automation. Finally, the investigation focuses on the inner partitions of the building to determine the influence of unconventional domotics services in the architectural design. Besides the theoretical contributions of this research, which have been proposed to strengthen the theoretical framework of the discipline, the achieved results find that such influence in the design stage exists and that it is possible to detect which constructive constraints are derived from the application of building regulations, from the new technologies involved in home automation facilities or from the standardization efforts of the joint ventures in the field of home automation.

Desarrollo de un entorno inteligente en el contexto del hogar digital

A lo largo de las últimas décadas el desarrollo de la tecnología en muy distintas áreas ha sido vertiginoso. Su propagación a todos los aspectos de nuestro día a día parece casi inevitable y la electrónica de consumo ha invadido nuestros hogares. No obstante, parece que la domótica no ha alcanzado el grado de integración que cabía esperar hace apenas una década. Es cierto que los dispositivos autónomos y con un cierto grado de inteligencia están abriéndose paso de manera independiente, pero el hogar digital, como sistema capaz de abarcar y automatizar grandes conjuntos de elementos de una vivienda (gestión energética, seguridad, bienestar, etc.) no ha conseguido extenderse al hogar medio. Esta falta de integración no se debe a la ausencia de tecnología, ni mucho menos, y numerosos son los estudios y proyectos surgidos en esta dirección. Sin embargo, no ha sido hasta hace unos pocos años que las instituciones y grandes compañías han comenzado a prestar verdadero interés en este campo. Parece que estamos a punto de experimentar un nuevo cambio en nuestra forma de vida, concretamente en la manera en la que interactuamos con nuestro hogar y las comodidades e información que este nos puede proporcionar. En esa corriente se desarrolla este Proyecto Fin de Grado, con el objetivo de aportar un nuevo enfoque a la manera de integrar los diferentes dispositivos del hogar digital con la inteligencia artificial y, lo que es más importante, al modo en el que el usuario interactúa con su vivienda. Más concretamente, se pretende desarrollar un sistema capaz de tomar decisiones acordes al contexto y a las preferencias del usuario. A través de la utilización de diferentes tecnologías se dotará al hogar digital de cierta autonomía a la hora de decidir qué acciones debe llevar a cabo sobre los dispositivos que contiene, todo ello mediante la interpretación de órdenes procedentes del usuario (expresadas de manera coloquial) y el estudio del contexto que envuelve al instante de ejecución. Para la interacción entre el usuario y el hogar digital se desarrollará una aplicación móvil mediante la cual podrá expresar (de manera conversacional) las órdenes que quiera dar al sistema, el cual intervendrá en la conversación y llevará a cabo las acciones oportunas. Para todo ello, el sistema hará principalmente uso de ontologías, análisis semántico, redes bayesianas, UPnP y Android. Se combinará información procedente del usuario, de los sensores y de fuentes externas para determinar, a través de las citadas tecnologías, cuál es la operación que debe realizarse para satisfacer las necesidades del usuario. En definitiva, el objetivo final de este proyecto es diseñar e implementar un sistema innovador que se salga de la corriente actual de interacción mediante botones, menús y formularios a los que estamos tan acostumbrados, y que permita al usuario, en cierto modo, hablar con su vivienda y expresarle sus necesidades, haciendo a la tecnología un poco más transparente y cercana y aproximándonos un poco más a ese concepto de hogar inteligente que imaginábamos a finales del siglo XX. ABSTRACT. Over the last decades the development of technology in very different areas has happened incredibly fast. Its propagation to all aspects of our daily activities seems to be inevitable and the electronic devices have invaded our homes. Nevertheless, home automation has not reached the integration point that it was supposed to just a few decades ago. It is true that some autonomic and relatively intelligent devices are emerging, but the digital home as a system able to control a large set of elements from a house (energy management, security, welfare, etc.) is not present yet in the average home. That lack of integration is not due to the absence of technology and, in fact, there are a lot of investigations and projects focused on this field. However, the institutions and big companies have not shown enough interest in home automation until just a few years ago. It seems that, finally, we are about to experiment another change in our lifestyle and how we interact with our home and the information and facilities it can provide. This Final Degree Project is developed as part of this trend, with the goal of providing a new approach to the way the system could integrate the home devices with the artificial intelligence and, mainly, to the way the user interacts with his house. More specifically, this project aims to develop a system able to make decisions, taking into account the context and the user preferences. Through the use of several technologies and approaches, the system will be able to decide which actions it should perform based on the order interpretation (expressed colloquially) and the context analysis. A mobile application will be developed to enable the user-home interaction. The user will be able to express his orders colloquially though out a conversational mode, and the system will also participate in the conversation, performing the required actions. For providing all this features, the system will mainly use ontologies, semantic analysis, Bayesian networks, UPnP and Android. Information from the user, the sensors and external sources will be combined to determine, through the use of these technologies, which is the operation that the system should perform to meet the needs of the user. In short, the final goal of this project is to design and implement an innovative system, away from the current trend of buttons, menus and forms. In a way, the user will be able to talk to his home and express his needs, experiencing a technology closer to the people and getting a little closer to that concept of digital home that we imagined in the late twentieth century.

Evaluating social choice techniques into intelligent environments by agent based social simulation

The primary hypothesis stated by this paper is that the use of social choice theory in Ambient Intelligence systems can improve significantly users satisfaction when accessing shared resources. A research methodology based on agent based social simulations is employed to support this hypothesis and to evaluate these benefits. The result is a six-fold contribution summarized as follows. Firstly, several considerable differences between this application case and the most prominent social choice application, political elections, have been found and described. Secondly, given these differences, a number of metrics to evaluate different voting systems in this scope have been proposed and formalized. Thirdly, given the presented application and the metrics proposed, the performance of a number of well known electoral systems is compared. Fourthly, as a result of the performance study, a novel voting algorithm capable of obtaining the best balance between the metrics reviewed is introduced. Fifthly, to improve the social welfare in the experiments, the voting methods are combined with cluster analysis techniques. Finally, the article is complemented by a free and open-source tool, VoteSim, which ensures not only the reproducibility of the experimental results presented, but also allows the interested reader to adapt the case study presented to different environments.

Personalisation of intelligent homecare services adapted to children with motor impairments

Ambient Intelligence could support innovative application domains like motor impairments' detection at the home environment. This research aims to prevent neurodevelopmental disorders through the natural interaction of the children with embedded intelligence daily life objects, like home furniture and toys. Designed system uses an interoperable platform to provide two intelligent interrelated home healthcare services: monitoring of children¿s abilities and completion of early stimulation activities. A set of sensors, which are embedded within the rooms, toys and furniture, allows private data gathering about the child's interaction with the environment. This information feeds a reasoning subsystem, which encloses an ontology of neurodevelopment items, and adapts the service to the age and acquisition of expected abilities. Next, the platform proposes customized stimulation services by taking advantage of the existing facilities at the child's environment. The result integrates Embedded Sensor Systems for Health at Mälardalen University with UPM Smart Home, for adapted services delivery.

iCarer Project: Intelligent Care Guidance and Learning Services Platform for Informal Carers of the Elderly

The increasing ageing population is demanding new care approaches to maintain the quality of life of elderly people. Informal carers are becoming crucial agents in the care and support of elderly people, which can lead to those carers suffering from additional stress due to competing priorities with employment or due to lack of knowledge about elderly people?s care needs. Thus, support and stress relief in carers should be a key issue in the home-care process of these older adults. Considering this context, this work presents the iCarer project aimed at developing a personalized and adaptive platform to offer informal carers support by means of monitoring their activities of daily care and psychological state, as well as providing an orientation to help them improve the care provided. Additionally, iCarer will provide e-Learning services and an informal carers learning network. As a result, carers will be able to expand their knowledge, supported by the experience provided by expert counsellors and fellow carers. Additionally, the coordination between formal and informal carers will be improved, offering the informal carers flexibility to organize and combine their assistance and social activities.

MAIA: an event-based modular architecture for intelligent agents

Online services are no longer isolated. The release of public APIs and technologies such as web hooks are allowing users and developers to access their information easily. Intelligent agents could use this information to provide a better user experience across services, connecting services with smart automatic. behaviours or actions. However, agent platforms are not prepared to easily add external sources such as web services, which hinders the usage of agents in the so-called Evented or Live Web. As a solution, this paper introduces an event-based architecture for agent systems, in accordance with the new tendencies in web programming. In particular, it is focused on personal agents that interact with several web services. With this architecture, called MAIA, connecting to new web services does not involve any modification in the platform.

Determination of the influence of specific building regulations in smart buildings

The automation of domestic services began to be implemented in buildings since the late nineteenth century, and today we are used to terms like ‘intelligent buildings’, ‘digital home’ or ‘domotic buildings’. These concepts tell us about constructions which integrate new technologies in order to improve comfort, optimize energy consumption or enhance the security of users. In conjunction, building regulations have been updated to suit the needs of society and to regulate these new facilities in such structures. However, we are not always sure about how far, from the quantitative or qualitative point of view, legislation should regulate certain aspects of the building activity. Consequently, content analysis is adopted in this research to determine the influence of building regulations in the implementation of new technologies in the construction process. This study includes the analysis of different European regulations, the collection and documentation of such guidelines that have been established and a study of the impact that all of these have had in the way we start thinking an architectural project. The achievements of the research could be explained in terms of the regulatory requirements that must be taken into account in order to achieve a successful implementation of a home automation system, and the key finding has been the confirmation of how the design of smart buildings may be promoted through specific regulatory requirements while other factors, such as the global economic situation, do not seem to affect directly the rate of penetration of home automation in construction.