Study of helical induced anisotropy in amorphous ribbons for sensor applications

Amorphous samples with helical induced anisotropy show magnetization processes that can be controlled by applying a longitudinal magnetic field simultaneously with an alternating current flowing through the sample. By varying the current amplitude and the phase difference between current and applied field, a wide range of coercivity and susceptibility values can be achieved. This work shows that the apparent coercive field and the susceptibility can be controlled in amorphous ribbons with helical anisotropy. These characteristics make these samples very suitable for their application as sensor cores, magnetic amplifiers, variable reluctance transformer cores, etc

Anisotropic magnetoresistive study in bilayer NiFe-NiO for sensor applications

Related with the detection of weak magnetic fields, the anisotropic magnetoresistive (AMR) effect is widely utilized in sensor applications. Exchange coupling between an antiferromagnet (AF) and the ferromagnet (FM) has been known as a significant parameter in the field sensitivity of magnetoresistance because of pinning effects on magnetic domain in FM layer by the bias field in AF. In this work we have studied the thermal evolution of the magnetization reversal processes in nanocrystalline exchange biased Ni80Fe20/Ni-O bilayers with large training effects and we report the anisotropic magnetoresistance ratio arising from field orientation in the bilayer.

Anisotropic magnetoresistive study in bilayer NiFe-NiO for sensor applications

Related with the detection of weak magnetic fields, the anisotropic magnetoresistive(AMR) effect is widely utilized in sensor applications. Exchange coupling between an antiferromagnet (AF) and the ferromagnet (FM) has been known as a significant parameter in the field sensitivity of magnetoresistance because of pinning effects on magnetic domain in FM layer by the bias field in AF. In this work we have studied the thermal evolution of the magnetization reversal processes in nanocrystalline exchange biased Ni80Fe20/Ni-O bilayers with large training effects and we report the anisotropic magnetoresistance ratio arising from field orientation in the bilayer.

CookieLibs: An Intuitive Software Platform For Controlling Cookies Wireless Sensor Nodes

In this work a complete set of libraries for developing wireless sensor applications in a simple and intuitive way is presented, in contraposition to the most spread application abstraction-level mechanisms based on operating systems. The main target of this software platform, named CookieLibs, is to provide the highest abstraction level on the management of WSNs but in the simplest way for those users who are not familiar with software design, in order to achieve a fast profiling mechanism for reliable prototyping based on the Cookies platform.

Room temperature photoluminescence of InGaAs Surface Quantum Dots

Self-assembled InGaAs quantum dots show unique physical properties such as three dimensional confinement, high size homogeneity, high density and low number of dislocations. They have been extensively used in the active regions of laser devices for optical communications applications [1]. Therefore, buried quantum dots (BQDs) embedded in wider band gap materials have been normally studied. The wave confinement in all directions and the stress field around the dot affect both optical and electrical properties [2, 3]. However, surface quantum dots (SQDs) are less affected by stress, although their optical and electrical characteristics have a strong dependence on surface fluctuation. Thus, they can play an important role in sensor applications

Crecimiento, fabricación y caracterización de heteroestructuras y nanocolumnas ordenadas basadas en nitruros del grupo III para aplicaciones sensoras

Esta memoria está basada en el crecimiento y caracterización de heteroestructuras Al(Ga)N/GaN y nanocolumnas ordenadas de GaN, y su aplicación en sensores químicos. El método de crecimiento ha sido la epitaxia de haces moleculares asistida por plasma (PAMBE). En el caso de las heteroestructuras Al(Ga)N/GaN, se han crecido barreras de distinto espesor y composición, desde AlN de 5 nm, hasta AlGaN de 35 nm. Además de una caracterización morfológica, estructural y eléctrica básica de las capas, también se han fabricado a partir de ellas dispositivos tipo HEMTs. La caracterización eléctrica de dichos dispositivos (carga y movilidad de en el canal bidimensional) indica que las mejores heteroestructuras son aquellas con un espesor de barrera intermedio (alrededor de 20 nm). Sin embargo, un objetivo importante de esta Tesis ha sido verificar las ventajas que podían tener los sensores basados en heteroestructuras AlN/GaN (frente a los típicos basados en AlGaN/GaN), con espesores de barrera muy finos (alrededor de 5 nm), ya que el canal de conducción que se modula por efecto de cambios químicos está más cerca de la superficie en donde ocurren dichos cambios químicos. De esta manera, se han utilizado los dispositivos tipo HEMTs como sensores químicos de pH (ISFETs), y se ha comprobado la mayor sensibilidad (variación de corriente frente a cambios de pH, Ids/pH) en los sensores basados en AlN/GaN frente a los basados en AlGaN/GaN. La mayor sensibilidad es incluso más patente en aplicaciones en las que no se utiliza un electrodo de referencia. Se han fabricado y caracterizado dispositivos ISFET similares utilizando capas compactas de InN. Estos sensores presentan peor estabilidad que los basados en Al(Ga)N/GaN, aunque la sensibilidad superficial al pH era la misma (Vgs/pH), y su sensibilidad en terminos de corriente de canal (Ids/pH) arroja valores intermedios entre los ISFET basados en AlN/GaN y los valores de los basados en AlGaN/GaN. Para continuar con la comparación entre dispositivos basados en Al(Ga)N/GaN, se fabricaron ISFETs con el área sensible más pequeña (35 x 35 m2), de tamaño similar a los dispositivos destinados a las medidas de actividad celular. Sometiendo los dispositivos a pulsos de voltaje en su área sensible, la respuesta de los dispositivos de AlN presentaron menor ruido que los basados en AlGaN. El ruido en la corriente para dispositivos de AlN, donde el encapsulado no ha sido optimizado, fue tan bajo como 8.9 nA (valor rms), y el ruido equivalente en el potencial superficial 38.7 V. Estos valores son más bajos que los encontrados en los dispositivos típicos para la detección de actividad celular (basados en Si), y del orden de los mejores resultados encontrados en la literatura sobre AlGaN/GaN. Desde el punto de vista de la caracterización electro-química de las superficies de GaN e InN, se ha determinado su punto isoeléctrico. Dicho valor no había sido reportado en la literatura hasta el momento. El valor, determinado por medidas de “streaming potential”, es de 4.4 y 4 respectivamente. Este valor es una importante característica a tener en cuenta en sensores, en inmovilización electrostática o en la litografía coloidal. Esta última técnica se discute en esta memoria, y se aplica en el último bloque de investigación de esta Tesis (i.e. crecimiento ordenado). El último apartado de resultados experimentales de esta Tesis analiza el crecimiento selectivo de nanocolumnas ordenadas de GaN por MBE, utilizando mascaras de Ti con nanoagujeros. Se ha estudiado como los distintos parámetros de crecimiento (i.e. flujos de los elementos Ga y N, temperatura de crecimiento y diseño de la máscara) afectan a la selectividad y a la morfología de las nanocolumnas. Se ha conseguido con éxito el crecimiento selectivo sobre pseudosustratos de GaN con distinta orientación cristalina o polaridad; templates de GaN(0001)/zafiro, GaN(0001)/AlN/Si, GaN(000-1)/Si y GaN(11-20)/zafiro. Se ha verificado experimentalmente la alta calidad cristalina de las nanocolumnas ordenadas, y su mayor estabilidad térmica comparada con las capas compactas del mismo material. Las nanocolumnas ordenadas de nitruros del grupo III tienen una clara aplicación en el campo de la optoelectrónica, principalmente para nanoemisores de luz blanca. Sin embargo, en esta Tesis se proponen como alternativa a la utilización de capas compactas o nanocolumnas auto-ensambladas en sensores. Las nanocolumnas auto-ensambladas de GaN, debido a su alta razón superficie/volumen, son muy prometedoras en el campo de los sensores, pero su amplia dispersión en dimensiones (altura y diámetro) supone un problema para el procesado y funcionamiento de dispositivos reales. En ese aspecto, las nanocolumnas ordenadas son más robustas y homogéneas, manteniendo una alta relación superficie/volumen. Como primer experimento en el ámbito de los sensores, se ha estudiado como se ve afectada la emisión de fotoluminiscencia de las NCs ordenadas al estar expuestas al aire o al vacio. Se observa una fuerte caída en la intensidad de la fotoluminiscencia cuando las nanocolumnas están expuestas al aire (probablemente por la foto-adsorción de oxigeno en la superficie), como ya había sido documentado anteriormente en nanocolumnas auto-ensambladas. Este experimento abre el camino para futuros sensores basados en nanocolumnas ordenadas. Abstract This manuscript deals with the growth and characterization of Al(Ga)N/GaN heterostructures and GaN ordered nanocolumns, and their application in chemical sensors. The growth technique has been the plasma-assisted molecular beam epitaxy (PAMBE). In the case of Al(Ga)N/GaN heterostructures, barriers of different thickness and composition, from AlN (5 nm) to AlGaN (35 nm) have been grown. Besides the basic morphological, structural and electrical characterization of the layers, HEMT devices have been fabricated based on these layers. The best electrical characteristics (larger carriers concentration and mobility in the two dimensional electron gas) are those in AlGaN/GaN heterostructures with a medium thickness (around 20 nm). However, one of the goals of this Thesis has been to verify the advantages that sensors based on AlN/GaN (thickness around 7 nm) have compared to standard AlGaN/GaN, because the conduction channel to be modulated by chemical changes is closer to the sensitive area. In this way, HEMT devices have been used as chemical pH sensors (ISFETs), and the higher sensitivity (conductance change related to pH changes, Ids/pH) of AlN/GaN based sensors has been proved. The higher sensibility is even more obvious in application without reference electrode. Similar ISFETs devices have been fabricated based on InN compact layers. These devices show a poor stability, but its surface sensitivity to pH (Vgs/pH) and its sensibility (Ids/pH) yield values between the corresponding ones of AlN/GaN and AlGaN/GaN heterostructures. In order to a further comparison between Al(Ga)N/GaN based devices, ISFETs with smaller sensitive area (35 x 35 m2), similar to the ones used in cellular activity record, were fabricated and characterized. When the devices are subjected to a voltage pulse through the sensitive area, the response of AlN based devices shows lower noise than the ones based on AlGaN. The noise in the current of such a AlN based device, where the encapsulation has not been optimized, is as low as 8.9 nA (rms value), and the equivalent noise to the surface potential is 38.7 V. These values are lower than the found in typical devices used for cellular activity recording (based on Si), and in the range of the best published results on AlGaN/GaN. From the point of view of the electrochemical characterization of GaN and InN surfaces, their isoelectric point has been experimentally determined. Such a value is the first time reported for GaN and InN surfaces. These values are determined by “streaming potential”, being pH 4.4 and 4, respectively. Isoelectric point value is an important characteristic in sensors, electrostatic immobilization or in colloidal lithography. In particular, colloidal lithography has been optimized in this Thesis for GaN surfaces, and applied in the last part of experimental results (i.e. ordered growth). The last block of this Thesis is focused on the selective area growth of GaN nanocolumns by MBE, using Ti masks decorated with nanoholes. The effect of the different growth parameters (Ga and N fluxes, growth temperature and mask design) is studied, in particular their impact in the selectivity and in the morphology of the nanocolumns. Selective area growth has been successful performed on GaN templates with different orientation or polarity; GaN(0001)/sapphire, GaN(0001)/AlN/Si, GaN(000- 1)/Si and GaN(11-20)/sapphire. Ordered nanocolumns exhibit a high crystal quality, and a higher thermal stability (lower thermal decomposition) than the compact layers of the same material. Ordered nanocolumns based on III nitrides have a clear application in optoelectronics, mainly for white light nanoemitters. However, this Thesis proposes them as an alternative to compact layers and self-assembled nanocolumns in sensor applications. Self-assembled GaN nanocolumns are very appealing for sensor applications, due to their large surface/volume ratio. However, their large dispersion in heights and diameters are a problem in terms of processing and operation of real devices. In this aspect, ordered nanocolumns are more robust and homogeneous, keeping the large surface/volume ratio. As first experimental evidence of their sensor capabilities, ordered nanocolumns have been studied regarding their photoluminiscence on air and vacuum ambient. A big drop in the intensity is observed when the nanocolumns are exposed to air (probably because of the oxygen photo-adsortion), as was already reported in the case of self-assembled nanocolumns. This opens the way to future sensors based on ordered III nitrides nanocolumns.

Hardware-software integration platform for a WSN testbed based on cookies nodes

In this work a complete hardware-software support platform for a WSN testbed focused on developing wireless sensor applications in a simple and intuitive way is presented, as an alternative of commercial-motes-based testbeds that can be found in the state of the art. The main target of this hardware-software platform is to provide the highest abstraction level on the management of WSNs but in the simplest way in order to achieve a fast profiling mechanism for reliable prototyping based on the Cookies platform as well as helping users to develop, test and validate Cookie-Based WSN applications.

Applications for wireless sensor networks : tracking with binary proximity sensors

El interés cada vez mayor por las redes de sensores inalámbricos pueden ser entendido simplemente pensando en lo que esencialmente son: un gran número de pequeños nodos sensores autoalimentados que recogen información o detectan eventos especiales y se comunican de manera inalámbrica, con el objetivo final de entregar sus datos procesados a una estación base. Los nodos sensores están densamente desplegados dentro del área de interés, se pueden desplegar al azar y tienen capacidad de cooperación. Por lo general, estos dispositivos son pequeños y de bajo costo, de modo que pueden ser producidos y desplegados en gran numero aunque sus recursos en términos de energía, memoria, velocidad de cálculo y ancho de banda están enormemente limitados. Detección, tratamiento y comunicación son tres elementos clave cuya combinación en un pequeño dispositivo permite lograr un gran número de aplicaciones. Las redes de sensores proporcionan oportunidades sin fin, pero al mismo tiempo plantean retos formidables, tales como lograr el máximo rendimiento de una energía que es escasa y por lo general un recurso no renovable. Sin embargo, los recientes avances en la integración a gran escala, integrado de hardware de computación, comunicaciones, y en general, la convergencia de la informática y las comunicaciones, están haciendo de esta tecnología emergente una realidad. Del mismo modo, los avances en la nanotecnología están empezando a hacer que todo gire entorno a las redes de pequeños sensores y actuadores distribuidos. Hay diferentes tipos de sensores tales como sensores de presión, acelerómetros, cámaras, sensores térmicos o un simple micrófono. Supervisan las condiciones presentes en diferentes lugares tales como la temperatura, humedad, el movimiento, la luminosidad, presión, composición del suelo, los niveles de ruido, la presencia o ausencia de ciertos tipos de objetos, los niveles de tensión mecánica sobre objetos adheridos y las características momentáneas tales como la velocidad , la dirección y el tamaño de un objeto, etc. Se comprobara el estado de las Redes Inalámbricas de Sensores y se revisaran los protocolos más famosos. Así mismo, se examinara la identificación por radiofrecuencia (RFID) ya que se está convirtiendo en algo actual y su presencia importante. La RFID tiene un papel crucial que desempeñar en el futuro en el mundo de los negocios y los individuos por igual. El impacto mundial que ha tenido la identificación sin cables está ejerciendo fuertes presiones en la tecnología RFID, los servicios de investigación y desarrollo, desarrollo de normas, el cumplimiento de la seguridad y la privacidad y muchos más. Su potencial económico se ha demostrado en algunos países mientras que otros están simplemente en etapas de planificación o en etapas piloto, pero aun tiene que afianzarse o desarrollarse a través de la modernización de los modelos de negocio y aplicaciones para poder tener un mayor impacto en la sociedad. Las posibles aplicaciones de redes de sensores son de interés para la mayoría de campos. La monitorización ambiental, la guerra, la educación infantil, la vigilancia, la micro-cirugía y la agricultura son solo unos pocos ejemplos de los muchísimos campos en los que tienen cabida las redes mencionadas anteriormente. Estados Unidos de América es probablemente el país que más ha investigado en esta área por lo que veremos muchas soluciones propuestas provenientes de ese país. Universidades como Berkeley, UCLA (Universidad de California, Los Ángeles) Harvard y empresas como Intel lideran dichas investigaciones. Pero no solo EE.UU. usa e investiga las redes de sensores inalámbricos. La Universidad de Southampton, por ejemplo, está desarrollando una tecnología para monitorear el comportamiento de los glaciares mediante redes de sensores que contribuyen a la investigación fundamental en glaciología y de las redes de sensores inalámbricos. Así mismo, Coalesenses GmbH (Alemania) y Zurich ETH están trabajando en diversas aplicaciones para redes de sensores inalámbricos en numerosas áreas. Una solución española será la elegida para ser examinada más a fondo por ser innovadora, adaptable y polivalente. Este estudio del sensor se ha centrado principalmente en aplicaciones de tráfico, pero no se puede olvidar la lista de más de 50 aplicaciones diferentes que ha sido publicada por la firma creadora de este sensor específico. En la actualidad hay muchas tecnologías de vigilancia de vehículos, incluidos los sensores de bucle, cámaras de video, sensores de imagen, sensores infrarrojos, radares de microondas, GPS, etc. El rendimiento es aceptable, pero no suficiente, debido a su limitada cobertura y caros costos de implementación y mantenimiento, especialmente este ultimo. Tienen defectos tales como: línea de visión, baja exactitud, dependen mucho del ambiente y del clima, no se puede realizar trabajos de mantenimiento sin interrumpir las mediciones, la noche puede condicionar muchos de ellos, tienen altos costos de instalación y mantenimiento, etc. Por consiguiente, en las aplicaciones reales de circulación, los datos recibidos son insuficientes o malos en términos de tiempo real debido al escaso número de detectores y su costo. Con el aumento de vehículos en las redes viales urbanas las tecnologías de detección de vehículos se enfrentan a nuevas exigencias. Las redes de sensores inalámbricos son actualmente una de las tecnologías más avanzadas y una revolución en la detección de información remota y en las aplicaciones de recogida. Las perspectivas de aplicación en el sistema inteligente de transporte son muy amplias. Con este fin se ha desarrollado un programa de localización de objetivos y recuento utilizando una red de sensores binarios. Esto permite que el sensor necesite mucha menos energía durante la transmisión de información y que los dispositivos sean más independientes con el fin de tener un mejor control de tráfico. La aplicación se centra en la eficacia de la colaboración de los sensores en el seguimiento más que en los protocolos de comunicación utilizados por los nodos sensores. Las operaciones de salida y retorno en las vacaciones son un buen ejemplo de por qué es necesario llevar la cuenta de los coches en las carreteras. Para ello se ha desarrollado una simulación en Matlab con el objetivo localizar objetivos y contarlos con una red de sensores binarios. Dicho programa se podría implementar en el sensor que Libelium, la empresa creadora del sensor que se examinara concienzudamente, ha desarrollado. Esto permitiría que el aparato necesitase mucha menos energía durante la transmisión de información y los dispositivos sean más independientes. Los prometedores resultados obtenidos indican que los sensores de proximidad binarios pueden formar la base de una arquitectura robusta para la vigilancia de áreas amplias y para el seguimiento de objetivos. Cuando el movimiento de dichos objetivos es suficientemente suave, no tiene cambios bruscos de trayectoria, el algoritmo ClusterTrack proporciona un rendimiento excelente en términos de identificación y seguimiento de trayectorias los objetos designados como blancos. Este algoritmo podría, por supuesto, ser utilizado para numerosas aplicaciones y se podría seguir esta línea de trabajo para futuras investigaciones. No es sorprendente que las redes de sensores de binarios de proximidad hayan atraído mucha atención últimamente ya que, a pesar de la información mínima de un sensor de proximidad binario proporciona, las redes de este tipo pueden realizar un seguimiento de todo tipo de objetivos con la precisión suficiente. Abstract The increasing interest in wireless sensor networks can be promptly understood simply by thinking about what they essentially are: a large number of small sensing self-powered nodes which gather information or detect special events and communicate in a wireless fashion, with the end goal of handing their processed data to a base station. The sensor nodes are densely deployed inside the phenomenon, they deploy random and have cooperative capabilities. Usually these devices are small and inexpensive, so that they can be produced and deployed in large numbers, and so their resources in terms of energy, memory, computational speed and bandwidth are severely constrained. Sensing, processing and communication are three key elements whose combination in one tiny device gives rise to a vast number of applications. Sensor networks provide endless opportunities, but at the same time pose formidable challenges, such as the fact that energy is a scarce and usually non-renewable resource. However, recent advances in low power Very Large Scale Integration, embedded computing, communication hardware, and in general, the convergence of computing and communications, are making this emerging technology a reality. Likewise, advances in nanotechnology and Micro Electro-Mechanical Systems are pushing toward networks of tiny distributed sensors and actuators. There are different sensors such as pressure, accelerometer, camera, thermal, and microphone. They monitor conditions at different locations, such as temperature, humidity, vehicular movement, lightning condition, pressure, soil makeup, noise levels, the presence or absence of certain kinds of objects, mechanical stress levels on attached objects, the current characteristics such as speed, direction and size of an object, etc. The state of Wireless Sensor Networks will be checked and the most famous protocols reviewed. As Radio Frequency Identification (RFID) is becoming extremely present and important nowadays, it will be examined as well. RFID has a crucial role to play in business and for individuals alike going forward. The impact of ‘wireless’ identification is exerting strong pressures in RFID technology and services research and development, standards development, security compliance and privacy, and many more. The economic value is proven in some countries while others are just on the verge of planning or in pilot stages, but the wider spread of usage has yet to take hold or unfold through the modernisation of business models and applications. Possible applications of sensor networks are of interest to the most diverse fields. Environmental monitoring, warfare, child education, surveillance, micro-surgery, and agriculture are only a few examples. Some real hardware applications in the United States of America will be checked as it is probably the country that has investigated most in this area. Universities like Berkeley, UCLA (University of California, Los Angeles) Harvard and enterprises such as Intel are leading those investigations. But not just USA has been using and investigating wireless sensor networks. University of Southampton e.g. is to develop technology to monitor glacier behaviour using sensor networks contributing to fundamental research in glaciology and wireless sensor networks. Coalesenses GmbH (Germany) and ETH Zurich are working in applying wireless sensor networks in many different areas too. A Spanish solution will be the one examined more thoroughly for being innovative, adaptable and multipurpose. This study of the sensor has been focused mainly to traffic applications but it cannot be forgotten the more than 50 different application compilation that has been published by this specific sensor’s firm. Currently there are many vehicle surveillance technologies including loop sensors, video cameras, image sensors, infrared sensors, microwave radar, GPS, etc. The performance is acceptable but not sufficient because of their limited coverage and expensive costs of implementation and maintenance, specially the last one. They have defects such as: line-ofsight, low exactness, depending on environment and weather, cannot perform no-stop work whether daytime or night, high costs for installation and maintenance, etc. Consequently, in actual traffic applications the received data is insufficient or bad in terms of real-time owed to detector quantity and cost. With the increase of vehicle in urban road networks, the vehicle detection technologies are confronted with new requirements. Wireless sensor network is the state of the art technology and a revolution in remote information sensing and collection applications. It has broad prospect of application in intelligent transportation system. An application for target tracking and counting using a network of binary sensors has been developed. This would allow the appliance to spend much less energy when transmitting information and to make more independent devices in order to have a better traffic control. The application is focused on the efficacy of collaborative tracking rather than on the communication protocols used by the sensor nodes. Holiday crowds are a good case in which it is necessary to keep count of the cars on the roads. To this end a Matlab simulation has been produced for target tracking and counting using a network of binary sensors that e.g. could be implemented in Libelium’s solution. Libelium is the enterprise that has developed the sensor that will be deeply examined. This would allow the appliance to spend much less energy when transmitting information and to make more independent devices. The promising results obtained indicate that binary proximity sensors can form the basis for a robust architecture for wide area surveillance and tracking. When the target paths are smooth enough ClusterTrack particle filter algorithm gives excellent performance in terms of identifying and tracking different target trajectories. This algorithm could, of course, be used for different applications and that could be done in future researches. It is not surprising that binary proximity sensor networks have attracted a lot of attention lately. Despite the minimal information a binary proximity sensor provides, networks of these sensing modalities can track all kinds of different targets classes accurate enough.

Lifetime maximization for beamforming applications in wireless sensor networks

Energy efficiency is a major design issue in the context of Wireless Sensor Networks (WSN). If data is to be sent to a far-away base station, collaborative beamforming by the sensors may help to dis- tribute the load among the nodes and reduce fast battery depletion. However, collaborative beamforming techniques are far from opti- mality and in many cases may be wasting more power than required. In this contribution we consider the issue of energy efficiency in beamforming applications. Using a convex optimization framework, we propose the design of a virtual beamformer that maximizes the network's lifetime while satisfying a pre-specified Quality of Service (QoS) requirement. A distributed consensus-based algorithm for the computation of the optimal beamformer is also provided

FPGA-Based Wireless Sensor Node Architecture for High Performance Applications

While for years traditional wireless sensor nodes have been based on ultra-low power microcontrollers with sufficient but limited computing power, the complexity and number of tasks of today’s applications are constantly increasing. Increasing the node duty cycle is not feasible in all cases, so in many cases more computing power is required. This extra computing power may be achieved by either more powerful microcontrollers, though more power consumption or, in general, any solution capable of accelerating task execution. At this point, the use of hardware based, and in particular FPGA solutions, might appear as a candidate technology, since though power use is higher compared with lower power devices, execution time is reduced, so energy could be reduced overall. In order to demonstrate this, an innovative WSN node architecture is proposed. This architecture is based on a high performance high capacity state-of-the-art FPGA, which combines the advantages of the intrinsic acceleration provided by the parallelism of hardware devices, the use of partial reconfiguration capabilities, as well as a careful power-aware management system, to show that energy savings for certain higher-end applications can be achieved. Finally, comprehensive tests have been done to validate the platform in terms of performance and power consumption, to proof that better energy efficiency compared to processor based solutions can be achieved, for instance, when encryption is imposed by the application requirements.

CCD image sensor induced error in PIV applications

The readout procedure of charge-coupled device (CCD) cameras is known to generate some image degradation in different scientific imaging fields, especially in astrophysics. In the particular field of particle image velocimetry (PIV), widely extended in the scientific community, the readout procedure of the interline CCD sensor induces a bias in the registered position of particle images. This work proposes simple procedures to predict the magnitude of the associated measurement error. Generally, there are differences in the position bias for the different images of a certain particle at each PIV frame. This leads to a substantial bias error in the PIV velocity measurement (~0.1 pixels). This is the order of magnitude that other typical PIV errors such as peak-locking may reach. Based on modern CCD technology and architecture, this work offers a description of the readout phenomenon and proposes a modeling for the CCD readout bias error magnitude. This bias, in turn, generates a velocity measurement bias error when there is an illumination difference between two successive PIV exposures. The model predictions match the experiments performed with two 12-bit-depth interline CCD cameras (MegaPlus ES 4.0/E incorporating the Kodak KAI-4000M CCD sensor with 4 megapixels). For different cameras, only two constant values are needed to fit the proposed calibration model and predict the error from the readout procedure. Tests by different researchers using different cameras would allow verification of the model, that can be used to optimize acquisition setups. Simple procedures to obtain these two calibration values are also described.

Heterogeneous Collaborative Sensor Network for Electrical Management of an Automated House with PV Energy

In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the “Smart Grid” which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called “MagicBox” equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency.

Gas sensor based on room temperature optical properties of Surface QDs

Self-organized InGaAs QDs are intensively studied for optoelectronic applications. Several approaches are in study to reach the emission wavelengths needed for these applications. The use of antimony (Sb) in either the capping layer or into the dots is one example. However, these studies are normally focused on buried QD (BQD) where there are still different controversial theories concerning the role of Sb. Ones suggest that Sb incorporates into the dot [1], while others support the hypothesis that the Sb occupies positions surrounding the dot [2] thus helping to keep their shape during the capping growth.

Using SCXML to integrate semantic sensor information into context-aware user interfaces

This paper describes a novel architecture to introduce automatic annotation and processing of semantic sensor data within context-aware applications. Based on the well-known state-charts technologies, and represented using W3C SCXML language combined with Semantic Web technologies, our architecture is able to provide enriched higher-level semantic representations of user’s context. This capability to detect and model relevant user situations allows a seamless modeling of the actual interaction situation, which can be integrated during the design of multimodal user interfaces (also based on SCXML) for them to be adequately adapted. Therefore, the final result of this contribution can be described as a flexible context-aware SCXML-based architecture, suitable for both designing a wide range of multimodal context-aware user interfaces, and implementing the automatic enrichment of sensor data, making it available to the entire Semantic Sensor Web

Using the Own Flexibility of a Climbing Robot as a Double Force Sensor

Force sensors are used when interaction tasks are carried out by robots in general, and by climbing robots in particular. If the mechanics and electronics systems are contained inside the own robot, the robot becomes portable without external control. Commercial force sensors cannot be used due to limited space and weight. By selecting the links material with appropriate stiffness and placing strain gauges on the structure, the own robot flexibility can be used such as force sensor. Thus, forces applied on the robot tip can be measured without additional external devices. Only gauges and small internal electronic converters are necessary. This paper illustrates the proposed algorithm to achieve these measurements. Additionally, experimental results are presented.