Ontology-Based Architecture to Improve Driving Performance Using Sensor Information for Intelligent Transportation Systems

Intelligent transportation systems are advanced applications with aim to provide innovative services relating to road transport management and enable the users to be better informed and make safer and coordinated use of transport networks. A crucial element for the success of these systems is that vehicles can exchange information not only among themselves but with other elements in the road infrastructure through different applications. One of the most important information sources in this kind of systems is sensors. Sensors can be located into vehicles or as part of an infrastructure element, such as bridges or traffic signs. The sensor can provide information related to the weather conditions and the traffic situation, which is useful to improve the driving process. In this paper a multiagent system using ontologies to improve the driving environment is proposed. The system performs different tasks in automatic way to increase the driver safety and comfort using sensor information

Contribución a la alineación de ontologías utilizando lógica difusa

En la actualidad, con el aumento de la cantidad de información disponible en Internet se hace cada vez más necesario crear mecanismos para facilitar la organización el intercambio de información y conocimiento entre las aplicaciones. La Web Semántica está destinada a resolver una de las carencias fundamentales de la Web actual, que es la falta de capacidad de las representaciones para expresar significados. Esta tarea se puede simplificar enormemente aądiendo información semántica y de contexto a las formas actuales de representación del conocimiento, utilizadas en la Web, de modo que los equipos puedan procesar, interpretar y conectar la información presentada en la WWW. Las ontologías se han convertido en un componente crucial dentro de la Web semántica, ya que permiten el diseǫ de exhaustivos y rigurosos esquemas conceptuales para facilitar la comunicación y el intercambio de información entre diferentes sistemas y entidades. Sin embargo, la heterogeneidad en la representación del conocimiento en las ontologías dificulta la interacción entre las aplicaciones que utilizan este conocimiento. Por ello, para compartir información, cuando se utiliza vocabularios heterogéneos se debe poder traducir los datos de un marco ontológico a otro. El proceso de encontrar correspondencias entre ontologías diferentes se conoce como alineación de ontologías. En esta tesis doctoral se propone un método de alineación de ontologías utilizando técnicas de lógica difusa para combinar diversas medidas de similitud entre entidades de ontologías diferentes. Las medidas de similitud propuestas se basan en dos elementos fundamentales de las ontologías: la terminología y la estructura. En cuanto a la terminología se propone una medida de similitud lingüística utilizando varias relaciones léxicas entre los nombres de las entidades, combinada con una medida de similitud semántica que tiene en cuenta la información del contexto de las entidades en las ontologías. En cuanto a la estructura se proponen medidas de similitud que utilizan tanto la estructura relacional como la estructura interna de los conceptos en las ontologías

Reconfiguration Algorithm to Reduce Power Losses in Offshore HVDC Transmission Lines

The race to increase the efficiency and reduce the power losses in transmission systems has resulted in the substantial growth of high-voltage direct current (HVDC) transmission systems. Moreover, the interconnection of these transmission systems significantly increases their reliability. However, the control of these meshed grids is a key problem that usually is managed through the control of the VSCs in those grids, but the control of the VSC can be complemented with a reconfiguration algorithm. This paper proposes the use of the particle swarm optimization algorithm, in order to reconfigure meshed HVDC transmission systems and reduce losses. The proposed algorithm has been tested in the CIGRE benchmark grid, which comprises of several offshore wind farms that generate energy sent to the grid through several HVDC transmission lines. The results show that as the energy generation changes due to wind changes, the grid topology must be reconfigured in order to achieve the maximum efficiency. Doing this reconfiguration, power savings around 18–19% could be achieve

On the Benefits of Channel Bonding in Dense, Decentralized Wi-Fi 4 Networks

Channel bonding is a technique first defined in the IEEE 802.11n standard to increase the throughput in wireless networks by means of using wider channels. In IEEE 802.11n (nowadays also known as Wi-Fi 4), it is possible to use 40 MHz channels instead of the classical 20 MHz channels. Although using channel bonding can increase the throughput, the classic 802.11 setting only allows for two orthogonal channels in the 2.4 GHz frequency band, which is not enough for proper channel assignment in dense settings. For that reason, it is commonly accepted that channel bonding is not suitable for this frequency band. However, to the best of our knowledge, there is not any accurate study that deals with this issue thoroughly. In this work, we study in depth the effect of channel bonding in Wi-Fi 4 dense, decentralized networks operating in the 2.4 GHz frequency band. We confirm the negative effect of using channel bonding in the 2.4 GHz frequency band with 11 channels which are 20 MHz wide (as in North America), but we also show that when there are 13 or more channels at hand (as in many other parts of the world, including Europe and Japan), the use of channel bonding yields consistent throughput improvements. For that reason, we claim that the common assumption of not considering channel bonding in the 2.4 GHz band should be revised

Intelligent Traffic Light Management using Multi-Behavioral Agents

XIII Jornadas de Ingeniería Telemática, 27/09/2017-29/09/2017, Valencia, EspañaOne of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration

A novel method for automatic detection and classification of movement patterns in short duration playing activities

Autonomous devices able to evaluate diverse situations without external help have become especially relevant in recent years because they can be used as an important source of relevant information about the activities performed by people (daily habits, sports performance, and health-related activities). Specifically, the use of this kind of device in childhood games might help in the early detection of developmental problems in children. In this paper, we propose a method for the detection and classification of movements performed with an object, based on an acceleration signal. This method can automatically generate patterns associated with a given movement using a set of reference signals, analyze sequences of acceleration trends, and classify the sequences according to the previously established patterns. This method has been implemented, and a series of experiments has been carried out using the data from a sensor-embedded toy. For the validation of the obtained results, we have, in parallel, developed two other classification systems based on popular techniques, i.e., a similarity search based on Euclidean distances and machine-learning techniques, specifically a support vector machine model. When comparing the results of each method, we show that our proposed method achieves a higher number of successes and higher accuracy in the detection and classification of isolated movement signals as well as in sequences of movements

Modelado del Conocimiento de Ciberseguridad en Entornos Hospitalarios

XV Jornadas de Ingeniería Telemática, , 27/10/2021-29/10/2021, A CORUÑA, EspañaEn la actualidad se está produciendo un considerable incremento en el número de ataques informáticos dirigidos a infraestructuras críticas en todo el mundo, entre las que destacan las infraestructuras de los centros hospitalarios. Estos ataques pueden tener graves consecuencias, desde el filtrado masivo de datos sanitarios confidenciales, hasta el colapso total de las infraestructuras TICs de las entidades sanitaras. Este trabajo se centra en la gestión del conocimiento de ciberseguridad en el entorno hospitalario y consiste en el desarrollo de una ontología que modele los principales conceptos y relaciones identificados en este dominio. El objetivo principal es poder contar con infraestructuras capaces de detectar estos ataques y establecer mecanismos de actuación que permitan mitigar sus efectos sobre los activos en un entorno tan crucial y vulnerable como es el entorno sanitario

Modelado basado en Ontologías para Redes de Transporte en Carreteras

JITEL 2019, , 22/10/2019-24/10/2019, , EspañaLos sistemas inteligentes de transporte son un conjunto de soluciones tecnológicas que se utilizan para mejorar el rendimiento y la seguridad del transporte por carretera. Un elemento crucial para el éxito de estos sistemas es que los vehículos puedan intercambiar información no solo entre ellos, sino también con otros elementos de la infraestructura vial a través de diferentes aplicaciones. Para el éxito de este intercambio de información, se necesita un marco común de conocimiento que permita la interoperabilidad. En este trabajo se propone un sistema basado en ontologías para proporcionar asistencia en la carretera, que facilite a los conductores la toma de decisiones en diferentes situaciones, teniendo en cuenta la información sobre diferentes elementos relacionados con el tráfico, como pueden ser las rutas, señales y reglas de tráfico y elementos meteorológicos