19 results on '"Romero Perales, Elena"'
Search Results
2. Fear Detection in Multimodal Affective Computing: Physiological Signals versus Catecholamine Concentration
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Gutiérrez-Martín, Laura, primary, Romero-Perales, Elena, additional, de Baranda Andújar, Clara Sainz, additional, F. Canabal-Benito, Manuel, additional, Rodríguez-Ramos, Gema Esther, additional, Toro-Flores, Rafael, additional, López-Ongil, Susana, additional, and López-Ongil, Celia, additional
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- 2022
- Full Text
- View/download PDF
3. Primera campaña de medida de respuestas emocionales y fisiológicas ante estímulos audiovisuales en un entorno de realidad virtual
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Gutiérrez Martín, Laura, Romero Perales, Elena, Sainz de Baranda Andújar, Clara, Blanco-Ruiz, Marian, Universidad Carlos III de Madrid. Instituto Universitario de Estudios de Género, and Comunidad de Madrid
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Entorno gráfico ,Víctimas de Violencia de Género (VVG) ,Emociones ,Etiquetas ,Aprendizaje máquina ,Electrónica ,Estímulos ,Sociología - Abstract
Actas del V Congreso Internacional de Jóvenes Investigadorxs con perspectiva de género (Getafe, 3 - 5 de junio de 2020) organizado por el Instituto Universitario de Estudios de Género de la Universidad Carlos III de Madrid. La medida de respuestas fisiológicas frente a estímulos emocionales es un tema de creciente interés en los últimos años tanto desde el punto de vista de entender las reacciones corporales frente a diferentes emociones como para su inclusión en los nuevos sistemas de computación afectiva. Este trabajo se centra fundamentalmente en la comprensión de la respuesta emocional frente al miedo. Específicamente, se presentan los resultados de la primera campaña de pruebas de medida de respuestas emocionales y fisiológicas ante estímulos audiovisuales realizada dentro del proyecto EMPATIA-CM. Este proyecto tiene como objetivo la mejora de la protección de las víctimas de violencia de género con una solución capaz de avisar de forma automática, inmediata y remota de situaciones de riesgo. En esta primera etapa se diseña un entorno de realidad virtual para la visualización de los estímulos, y se realiza una campaña de pruebas con 19 personas voluntarias a las que se proyectan 20 vídeos asociados a diferentes emociones y se recogen sus respuestas emocionales y fisiológicas. Estos datos se han analizado para detectar variaciones de las etiquetas reportadas según género y edad, relación muy relevante para este tipo de ensayos. Además, este análisis permite la selección de los mejores estímulos y para la comprobación y depuración del protocolo de la campaña y métodos de etiquetado para las futuras campañas de prueba con mayor número de personas voluntarias, dedicándose la última a VVG. Esta investigación forma parte del proyecto EMPATÍA-CM, Ref: Y2018/TCS-5046. Programa de proyectos sinérgicos de I+D en nuevas y emergentes áreas científicas en la frontera de la ciencia y de naturaleza interdisciplinar, cofinanciada con los Programas Operativos del Fondo Social Europeo y del Fondo Europeo de Desarrollo Regional, 2014-2020, de la Comunidad de Madrid.
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- 2020
4. Investigación joven con perspectiva de género V
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Sainz de Baranda Andújar, Clara, Blanco Ruiz, María Ángeles, Camero Bejarano, Beatriz, López García, Marta Belén, Gupta, Shilpi, Carratalà Ros, Paula, Ingidua Sánchez, Marina, Samacá Pulido, Julián, Luna Rivas, Sara, Majón Valpuesta, Dolores, Salado Navarro, Vanesa, Moreno Maldonado, Concepción, Ortega-de-Mora, Fabiola, Silva Rêgo, Sérgio Antônio, Teixeira Ferraz da Silva, Joana, Gonçalves Ribeiro, Rafaela Sofia, Pérez Salanova, Mercé, López Lorenzo, Rubén, Argyriou, Konstantinos, Cárdenas Cordón, Alicia, Fernández Montes, Lidia, Sánchez Nimo, Silvana María, Uceda Yela, Mercedes, Jungbluth Suxberger, Rejane, Moltó Molina, Ana María, Espín Martínez, Antonio, Codina Canet, María Adelina, Cárdenas Blesa, Carlos, Castro-García, Marina, Pérez Pérez, Paula, Flores Rubiales, Gloria, Otero-Gutiérrez, Gema, Canabal Benito, Manuel Felipe, Toro Flores, Rafael, López Ongil, Susana, López Ongil, Celia, Gutiérrez Martín, Laura, Romero Perales, Elena, Presman, Clara, Martín Martínez, Macarena, Gorgojo Iglesias, Raisa, Sainz de Baranda Andújar, Clara, Blanco-Ruiz, Marian, and Universidad Carlos III de Madrid. Instituto Universitario de Estudios de Género
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ODS ,Feminismo ,Agenda 2030 ,Estudios de género ,Igualdad ,SDG ,Mujeres ,Política ,Sociología - Abstract
Actas del V Congreso Internacional de Jóvenes Investigadorxs con perspectiva de género (Getafe, 3 - 5 de junio de 2020) organizado por el Instituto Universitario de Estudios de Género de la Universidad Carlos III de Madrid.
- Published
- 2020
5. Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective?
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Blanco-Ruiz, Marian, primary, Sainz-de-Baranda, Clara, additional, Gutiérrez-Martín, Laura, additional, Romero-Perales, Elena, additional, and López-Ongil, Celia, additional
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- 2020
- Full Text
- View/download PDF
6. Cognitive strategies for reducing energy consumption in wireless sensor networks
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Romero Perales, Elena and Araujo Pinto, Álvaro
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Telecomunicaciones - Abstract
El consumo energético de las Redes de Sensores Inalámbricas (WSNs por sus siglas en inglés) es un problema histórico que ha sido abordado desde diferentes niveles y visiones, ya que no solo afecta a la propia supervivencia de la red sino que el creciente uso de dispositivos inteligentes y el nuevo paradigma del Internet de las Cosas hace que las WSNs tengan cada vez una mayor influencia en la huella energética. Debido a la tendencia al alza en el uso de estas redes se añade un nuevo problema, la saturación espectral. Las WSNs operan habitualmente en bandas sin licencia como son las bandas Industrial, Científica y Médica (ISM por sus siglas en inglés). Estas bandas se comparten con otro tipo de redes como Wi-Fi o Bluetooth cuyo uso ha crecido exponencialmente en los últimos años. Para abordar este problema aparece el paradigma de la Radio Cognitiva (CR), una tecnología que permite el acceso oportunista al espectro. La introducción de capacidades cognitivas en las WSNs no solo permite optimizar su eficiencia espectral sino que también tiene un impacto positivo en parámetros como la calidad de servicio, la seguridad o el consumo energético. Sin embargo, por otra parte, este nuevo paradigma plantea algunos retos relacionados con el consumo energético. Concretamente, el sensado del espectro, la colaboración entre los nodos (que requiere comunicación adicional) y el cambio en los parámetros de transmisión aumentan el consumo respecto a las WSN clásicas. Teniendo en cuenta que la investigación en el campo del consumo energético ha sido ampliamente abordada puesto que se trata de una de sus principales limitaciones, asumimos que las nuevas estrategias deben surgir de las nuevas capacidades añadidas por las redes cognitivas. Por otro lado, a la hora de diseñar estrategias de optimización para CWSN hay que tener muy presentes las limitaciones de recursos de estas redes en cuanto a memoria, computación y consumo energético de los nodos. En esta tesis doctoral proponemos dos estrategias de reducción de consumo energético en CWSNs basadas en tres pilares fundamentales. El primero son las capacidades cognitivas añadidas a las WSNs que proporcionan la posibilidad de adaptar los parámetros de transmisión en función del espectro disponible. La segunda es la colaboración, como característica intrínseca de las CWSNs. Finalmente, el tercer pilar de este trabajo es teoría de juegos como algoritmo de soporte a la decisión, ampliamente utilizado en WSNs debido a su simplicidad. Como primer aporte de la tesis se presenta un análisis completo de las posibilidades introducidas por la radio cognitiva en materia de reducción de consumo para WSNs. Gracias a las conclusiones extraídas de este análisis, se han planteado las hipótesis de esta tesis relacionadas con la validez de usar capacidades cognitivas como herramienta para la reducción de consumo en CWSNs. Una vez presentada las hipótesis, pasamos a desarrollar las principales contribuciones de la tesis: las dos estrategias diseñadas para reducción de consumo basadas en teoría de juegos y CR. La primera de ellas hace uso de un juego no cooperativo que se juega mediante pares de jugadores. En la segunda estrategia, aunque el juego continúa siendo no cooperativo, se añade el concepto de colaboración. Para cada una de las estrategias se presenta el modelo del juego, el análisis formal de equilibrios y óptimos y la descripción de la estrategia completa donde se incluye la interacción entre nodos. Con el propósito de probar las estrategias mediante simulación e implementación en dispositivos reales hemos desarrollado un marco de pruebas compuesto por un simulador cognitivo y un banco de pruebas formado por nodos cognitivos capaces de comunicarse en tres bandas ISM desarrollados en el B105 Lab. Este marco de pruebas constituye otra de las aportaciones de la tesis que permitirá el avance en la investigación en el área de las CWSNs. Finalmente, se presentan y discuten los resultados derivados de la prueba de las estrategias desarrolladas. La primera estrategia proporciona ahorros de energía mayores al 65% comparados con una WSN sin capacidades cognitivas y alrededor del 25% si la comparamos con una estrategia cognitiva basada en el sensado periódico del espectro para el cambio de canal de acuerdo a un nivel de ruido fijado. Este algoritmo se comporta de forma similar independientemente del nivel de ruido siempre que éste sea espacialmente uniformemente. Esta estrategia, a pesar de su sencillez, nos asegura el comportamiento óptimo en cuanto a consumo energético debido a la utilización de teoría de juegos en la fase de diseño del comportamiento de los nodos. La estrategia colaborativa presenta mejoras respecto a la anterior en términos de protección frente al ruido en escenarios de ruido más complejos donde aporta una mejora del 50% comparada con la estrategia anterior. ABSTRACT Energy consumption in Wireless Sensor Networks (WSNs) is a known historical problem that has been addressed from different areas and on many levels. But this problem should not only be approached from the point of view of their own efficiency for survival. A major portion of communication traffic has migrated to mobile networks and systems. The increased use of smart devices and the introduction of the Internet of Things (IoT) give WSNs a great influence on the carbon footprint. Thus, optimizing the energy consumption of wireless networks could reduce their environmental impact considerably. In recent years, another problem has been added to the equation: spectrum saturation. Wireless Sensor Networks usually operate in unlicensed spectrum bands such as Industrial, Scientific, and Medical (ISM) bands shared with other networks (mainly Wi-Fi and Bluetooth). To address the efficient spectrum utilization problem, Cognitive Radio (CR) has emerged as the key technology that enables opportunistic access to the spectrum. Therefore, the introduction of cognitive capabilities to WSNs allows optimizing their spectral occupation. Cognitive Wireless Sensor Networks (CWSNs) do not only increase the reliability of communications, but they also have a positive impact on parameters such as the Quality of Service (QoS), network security, or energy consumption. These new opportunities introduced by CWSNs unveil a wide field in the energy consumption research area. However, this also implies some challenges. Specifically, the spectrum sensing stage, collaboration among devices (which requires extra communication), and changes in the transmission parameters increase the total energy consumption of the network. When designing CWSN optimization strategies, the fact that WSN nodes are very limited in terms of memory, computational power, or energy consumption has to be considered. Thus, light strategies that require a low computing capacity must be found. Since the field of energy conservation in WSNs has been widely explored, we assume that new strategies could emerge from the new opportunities presented by cognitive networks. In this PhD Thesis, we present two strategies for energy consumption reduction in CWSNs supported by three main pillars. The first pillar is that cognitive capabilities added to the WSN provide the ability to change the transmission parameters according to the spectrum. The second pillar is that the ability to collaborate is a basic characteristic of CWSNs. Finally, the third pillar for this work is the game theory as a decision-making algorithm, which has been widely used in WSNs due to its lightness and simplicity that make it valid to operate in CWSNs. For the development of these strategies, a complete analysis of the possibilities is first carried out by incorporating the cognitive abilities into the network. Once this analysis has been performed, we expose the hypotheses of this thesis related to the use of cognitive capabilities as a useful tool to reduce energy consumption in CWSNs. Once the analyses are exposed, we present the main contribution of this thesis: the two designed strategies for energy consumption reduction based on game theory and cognitive capabilities. The first one is based on a non-cooperative game played between two players in a simple and selfish way. In the second strategy, the concept of collaboration is introduced. Despite the fact that the game used is also a non-cooperative game, the decisions are taken through collaboration. For each strategy, we present the modeled game, the formal analysis of equilibrium and optimum, and the complete strategy describing the interaction between nodes. In order to test the strategies through simulation and implementation in real devices, we have developed a CWSN framework composed by a CWSN simulator based on Castalia and a testbed based on CWSN nodes able to communicate in three different ISM bands. We present and discuss the results derived by the energy optimization strategies. The first strategy brings energy improvement rates of over 65% compared to WSN without cognitive techniques. It also brings energy improvement rates of over 25% compared with sensing strategies for changing channels based on a decision threshold. We have also seen that the algorithm behaves similarly even with significant variations in the level of noise while working in a uniform noise scenario. The collaborative strategy presents improvements respecting the previous strategy in terms of noise protection when the noise scheme is more complex where this strategy shows improvement rates of over 50%.
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- 2015
7. Desarrollo de servicios interactivos a través de teléfonos Inteligentes para un tablón expositor con iluminación LED
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Romero Perales, Elena, Pomeda Monroy, Javier, Romero Perales, Elena, and Pomeda Monroy, Javier
- Abstract
El tablón expositor del laboratorio B-105 cuenta con un sistema de iluminación mediante tiras de LED de tres canales RGB, controlados mediante un circuito integrado de Texas Instruments, el TLC5940. El objetivo del Trabajo de Fin de Grado consistía en el desarrollo de funcionalidades que permitan poder controlar los efectos de luces del tablón mediante un teléfono inteligente con sistema operativo Android. Para ello se ha hecho uso de conexión Bluetooth entre el teléfono y el sistema empotrado que controla los leds, una Raspberry Pi. Se han realizado las siguientes fases del proyecto: - Diseño e implementación del código a ejecutar en un sistema Raspberry Pi en C++, con el objeto de crear diferentes efectos de los diodos LED y funcionalidades para el tablón: o Codificación de los diversos efectos de luces. o Diseño del código e interrupciones para la conexión Bluetooth, utilizando laslibrerías disponibles para Raspberry Pi. - Diseño e implementación de la aplicación para teléfonos Android: o Diseño e implementación de la interfaz de usuario, incluyendo la posibilidad de personalización para los diferentes efectos. o Implementación de la conectividad Bluetooth desde la aplicación utilizando las librerías proporcionadas por Android. o Desarrollo del código Java que gestiona la lógica de la aplicación. - Pruebas y validación del proyecto. Las diferentes fases se han enfocado con vistas a la posibilidad de ampliar el proyecto en el futuro añadiendo nuevas alternativas de control y uso tanto a la Raspberry Pi como a la aplicación móvil.
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- 2016
8. Some advances in extensive bridge monitoring using low cost dynamic characterization
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García-Palacios, Jaime H., Samartín, Avelino, Ortega, Roberto, Tirado, Francisco, Araujo, Alvaro, Nieto-Taladriz García, Octavio, Blesa Martínez, Javier, Romero Perales, Elena, Reynders, Edwin, De Roeck, Guido, and He, Leqia
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Telecomunicaciones ,Electrónica ,Ingeniería Civil y de la Construcción - Abstract
Dynamic measurements will become a standard for bridge monitoring in the near future. This fact will produce an important cost reduction for maintenance. US Administration has a long term intensive research program in order to diminish the estimated current maintenance cost of US$7 billion per year over 20 years. An optimal intervention maintenance program demands a historical dynamical record, as well as an updated mathematical model of the structure to be monitored. In case that a model of the structure is not actually available it is possible to produce it, however this possibility does not exist for missing measurement records from the past. Current acquisition systems to monitor structures can be made more efficient by introducing the following improvements, under development in the Spanish research Project “Low cost bridge health monitoring by ambient vibration tests using wireless sensors”: (a) a complete wireless system to acquire sensor data, (b) a wireless system that permits the localization and the hardware identification of the whole sensor system. The applied localization system has been object of a recent patent, and (c) automatization of the modal identification process, aimed to diminish human intervention. This system is assembled with cheap components and allows the simultaneous use of a large number of sensors at a low placement cost. The engineer’s intervention is limited to the selection of sensor positions, probably based on a preliminary FE analysis. In case of multiple setups, also the position of a number of fixed reference sensors has to be decided. The wireless localization system will obtain the exact coordinates of all these sensors positions. When the selection of optimal positions is difficult, for example because of the lack of a proper FE model, this can be compensated by using a higher number of measuring (also reference) points. The described low cost acquisition system allows the responsible bridge administration to obtain historical dynamic identification records at reasonable costs that will be used in future maintenance programs. Therefore, due to the importance of the baseline monitoring record of a new bridge, a monitoring test just after its construction should be highly recommended, if not compulsory.
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- 2011
9. A game theory based strategy for reducing energy consumption in cognitive WSN
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Romero Perales, Elena, Blesa Martínez, Javier, Araujo Pinto, Álvaro, Nieto-Taladriz García, Octavio, Romero Perales, Elena, Blesa Martínez, Javier, Araujo Pinto, Álvaro, and Nieto-Taladriz García, Octavio
- Abstract
Wireless sensor networks (WSNs) are one of the most important users of wireless communication technologies in the coming years and some challenges in this area must be addressed for their complete development. Energy consumption and spectrum availability are two of the most severe constraints of WSNs due to their intrinsic nature. The introduction of cognitive capabilities into these networks has arisen to face the issue of spectrum scarcity but could be used to face energy challenges too due to their new range of communication possibilities. In this paper a new strategy based on game theory for cognitive WSNs is discussed. The presented strategy improves energy consumption by taking advantage of the new change-communication-channel capability. Based on game theory, the strategy decides when to change the transmission channel depending on the behavior of the rest of the network nodes. The strategy presented is lightweight but still has higher energy saving rates as compared to noncognitive networks and even to other strategies based on scheduled spectrum sensing. Simulations are presented for several scenarios that demonstrate energy saving rates of around 65% as compared to WSNs without cognitive techniques.
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- 2014
10. Cognitive wireless sensor network platform for cooperative communications
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Tena García, Agustín, Jara Luengos, Guillermo, Domingo Rebollo, Juan, Romero Perales, Elena, Araujo Pinto, Álvaro, Tena García, Agustín, Jara Luengos, Guillermo, Domingo Rebollo, Juan, Romero Perales, Elena, and Araujo Pinto, Álvaro
- Abstract
Nowadays, Wireless Ad Hoc Sensor Networks (WAHSNs), specially limited in energy and resources, are subject to development constraints and difficulties such as the increasing RF spectrum saturation at the unlicensed bands. Cognitive Wireless Sensor Networks (CWSNs), leaning on a cooperative communication model, develop new strategies to mitigate the inefficient use of the spectrum that WAHSNs face. However, few and poorly featured platforms allow their study due to their early research stage. This paper presents a versatile platform that brings together cognitive properties into WAHSNs. It combines hardware and software modules as an entire instrument to investigate CWSNs. The hardware fits WAHSN requirements in terms of size, cost, features, and energy. It allows communication over three different RF bands, becoming the only cognitive platform for WAHSNs with this capability. In addition, its modular and scalable design is widely adaptable to almost any WAHSN application. Significant features such as radio interface (RI) agility or energy consumption have been proven throughout different performance tests.
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- 2014
11. Patients Monitoring System based on a Wireless Sensor Network Adaptive Platform
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Romero Perales, Elena, Araujo Pinto, Álvaro, Malagón Marzo, Pedro José, Vallejo López, Juan Carlos, Moya Fernández, José Manuel, and Nieto-Taladriz García, Octavio
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Medicina ,Electrónica - Abstract
Guaranteeing ubiquity and appropriateness of health services provision to the users constitutes a priority issue for the Public Health Authorities. This paper presents an innovative Wireless Personal Area Network architecture that takes advantage of some of the features provided by Intelligent Environments -large number of devices, heterogeneous networks and mobility enhancement- in order to adapt and personalise ambient conditions to the user profile.
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- 2008
12. PUE attack detection in CWSN using collaboration and learning behavior
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Blesa Martínez, Javier, Romero Perales, Elena, Araujo Pinto, Álvaro, Nieto-Taladriz García, Octavio, Blesa Martínez, Javier, Romero Perales, Elena, Araujo Pinto, Álvaro, and Nieto-Taladriz García, Octavio
- Abstract
Cognitive Wireless Sensor Network (CWSN) is a new paradigm which integrates cognitive features in traditional Wireless Sensor Networks (WSNs) to mitigate important problems such as spectrum occupancy. Security in Cognitive Wireless Sensor Networks is an important problem because these kinds of networks manage critical applications and data. Moreover, the specific constraints of WSN make the problem even more critical. However, effective solutions have not been implemented yet. Among the specific attacks derived from new cognitive features, the one most studied is the Primary User Emulation (PUE) attack. This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. A nonparametric CUSUM algorithm, suitable for low resource networks like CWSN, has been used in this work. The algorithm has been tested using a cognitive simulator that brings important results in this area. For example, the result shows that the number of collaborative nodes is the most important parameter in order to improve the PUE attack detection rates. If the 20% of the nodes collaborates, the PUE detection reaches the 98% with less than 1% of false positives.
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- 2013
13. Evaluation, energy optimization, and spectrum analysis of an artificial noise technique to improve CWSN security
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Blesa Martínez, Javier, Araujo Pinto, Álvaro, Romero Perales, Elena, Nieto-Taladriz García, Octavio, Blesa Martínez, Javier, Araujo Pinto, Álvaro, Romero Perales, Elena, and Nieto-Taladriz García, Octavio
- Abstract
This paper presents the security evaluation, energy consumption optimization, and spectrum scarcity analysis of artificial noise techniques to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSNs). These techniques introduce noise into the spectrum in order to hide real information. Nevertheless, they directly affect two important parameters in Cognitive Wireless Sensor Networks (CWSNs), energy consumption and spectrum utilization. Both are affected because the number of packets transmitted by the network and the active period of the nodes increase. Security evaluation demonstrates that these techniques are effective against eavesdropper attacks, but also optimization allows for the implementation of these approaches in low-resource networks such as Cognitive Wireless Sensor Networks. In this work, the scenario is formally modeled and the optimization according to the simulation results and the impact analysis over the frequency spectrum are presented.
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- 2013
14. PUE attack detection in CWSNs using anomaly detection techniques
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Blesa Martínez, Javier, Romero Perales, Elena, Rozas Cid, Alba, Araujo Pinto, Álvaro, Blesa Martínez, Javier, Romero Perales, Elena, Rozas Cid, Alba, and Araujo Pinto, Álvaro
- Abstract
Cognitive wireless sensor network (CWSN) is a new paradigm, integrating cognitive features in traditional wireless sensor networks (WSNs) to mitigate important problems such as spectrum occupancy. Security in cognitive wireless sensor networks is an important problem since these kinds of networks manage critical applications and data. The specific constraints of WSN make the problem even more critical, and effective solutions have not yet been implemented. Primary user emulation (PUE) attack is the most studied specific attack deriving from new cognitive features. This work discusses a new approach, based on anomaly behavior detection and collaboration, to detect the primary user emulation attack in CWSN scenarios. Two non-parametric algorithms, suitable for low-resource networks like CWSNs, have been used in this work: the cumulative sum and data clustering algorithms. The comparison is based on some characteristics such as detection delay, learning time, scalability, resources, and scenario dependency. The algorithms have been tested using a cognitive simulator that provides important results in this area. Both algorithms have shown to be valid in order to detect PUE attacks, reaching a detection rate of 99% and less than 1% of false positives using collaboration.
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- 2013
15. Bio-inspired enhancement of reputation systems for intelligent environments
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Bankovic, Zorana, Fraga Aydillo, David, Moya Fernández, José Manuel, Vallejo López, Juan Carlos, Malagón Marzo, Pedro José, Araujo Pinto, Álvaro, Goyeneche, Juan Mariano de, Romero Perales, Elena, Blesa Martínez, Javier, Villanueva González, Daniel, Nieto-Taladriz García, Octavio, Bankovic, Zorana, Fraga Aydillo, David, Moya Fernández, José Manuel, Vallejo López, Juan Carlos, Malagón Marzo, Pedro José, Araujo Pinto, Álvaro, Goyeneche, Juan Mariano de, Romero Perales, Elena, Blesa Martínez, Javier, Villanueva González, Daniel, and Nieto-Taladriz García, Octavio
- Abstract
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.
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- 2013
16. Wireless measurement system for structural health monitoring with high time synchronization accuracy
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Araujo Pinto, Álvaro, García-Palacios, Jaime H., Blesa Martínez, Javier, Tirado, Francisco, Romero Perales, Elena, Samartín, Avelino, Nieto-Taladriz García, Octavio, Araujo Pinto, Álvaro, García-Palacios, Jaime H., Blesa Martínez, Javier, Tirado, Francisco, Romero Perales, Elena, Samartín, Avelino, and Nieto-Taladriz García, Octavio
- Abstract
Structural health monitoring (SHM) systems have excellent potential to improve the regular operation and maintenance of structures. Wireless networks (WNs) have been used to avoid the high cost of traditional generic wired systems. The most important limitation of SHM wireless systems is time-synchronization accuracy, scalability, and reliability. A complete wireless system for structural identification under environmental load is designed, implemented, deployed, and tested on three different real bridges. Our contribution ranges from the hardware to the graphical front end. System goal is to avoid the main limitations of WNs for SHM particularly in regard to reliability, scalability, and synchronization. We reduce spatial jitter to 125 ns, far below the 120 μs required for high-precision acquisition systems and much better than the 10-μs current solutions, without adding complexity. The system is scalable to a large number of nodes to allow for dense sensor coverage of real-world structures, only limited by a compromise between measurement length and mandatory time to obtain the final result. The system addresses a myriad of problems encountered in a real deployment under difficult conditions, rather than a simulation or laboratory test bed.
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- 2012
17. Using clustering techniques for intelligent camera-based user interfaces
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Bankovic, Zorana, Moya Fernández, José Manuel, Romero Perales, Elena, Blesa Martínez, Javier, Fraga Aydillo, David, Vallejo López, Juan Carlos, Araujo Pinto, Álvaro, Malagón Marzo, Pedro José, Goyeneche, Juan Mariano de, Villanueva González, Daniel, Nieto-Taladriz García, Octavio, Bankovic, Zorana, Moya Fernández, José Manuel, Romero Perales, Elena, Blesa Martínez, Javier, Fraga Aydillo, David, Vallejo López, Juan Carlos, Araujo Pinto, Álvaro, Malagón Marzo, Pedro José, Goyeneche, Juan Mariano de, Villanueva González, Daniel, and Nieto-Taladriz García, Octavio
- Abstract
The area of Human-Machine Interface is growing fast due to its high importance in all technological systems. The basic idea behind designing human-machine interfaces is to enrich the communication with the technology in a natural and easy way. Gesture interfaces are a good example of transparent interfaces. Such interfaces must identify properly the action the user wants to perform, so the proper gesture recognition is of the highest importance. However, most of the systems based on gesture recognition use complex methods requiring high-resource devices. In this work, we propose to model gestures capturing their temporal properties, which significantly reduce storage requirements, and use clustering techniques, namely self-organizing maps and unsupervised genetic algorithm, for their classification. We further propose to train a certain number of algorithms with different parameters and combine their decision using majority voting in order to decrease the false positive rate. The main advantage of the approach is its simplicity, which enables the implementation using devices with limited resources, and therefore low cost. The testing results demonstrate its high potential.
- Published
- 2012
18. Cognitive strategies for reducing energy consumption in wireless sensor networks
- Author
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Romero Perales, Elena, primary
- Full Text
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19. Desarrollo de servicios interactivos a través de teléfonos Inteligentes para un tablón expositor con iluminación LED
- Author
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Pomeda Monroy, Javier and Romero Perales, Elena
- Subjects
Telecomunicaciones - Abstract
El tablón expositor del laboratorio B-105 cuenta con un sistema de iluminación mediante tiras de LED de tres canales RGB, controlados mediante un circuito integrado de Texas Instruments, el TLC5940. El objetivo del Trabajo de Fin de Grado consistía en el desarrollo de funcionalidades que permitan poder controlar los efectos de luces del tablón mediante un teléfono inteligente con sistema operativo Android. Para ello se ha hecho uso de conexión Bluetooth entre el teléfono y el sistema empotrado que controla los leds, una Raspberry Pi. Se han realizado las siguientes fases del proyecto: - Diseño e implementación del código a ejecutar en un sistema Raspberry Pi en C++, con el objeto de crear diferentes efectos de los diodos LED y funcionalidades para el tablón: o Codificación de los diversos efectos de luces. o Diseño del código e interrupciones para la conexión Bluetooth, utilizando laslibrerías disponibles para Raspberry Pi. - Diseño e implementación de la aplicación para teléfonos Android: o Diseño e implementación de la interfaz de usuario, incluyendo la posibilidad de personalización para los diferentes efectos. o Implementación de la conectividad Bluetooth desde la aplicación utilizando las librerías proporcionadas por Android. o Desarrollo del código Java que gestiona la lógica de la aplicación. - Pruebas y validación del proyecto. Las diferentes fases se han enfocado con vistas a la posibilidad de ampliar el proyecto en el futuro añadiendo nuevas alternativas de control y uso tanto a la Raspberry Pi como a la aplicación móvil.
- Published
- 2016
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