1,408 research outputs found

    Piezoelectric Thick Films: Preparation and Characterization

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    Testing microelectronic biofluidic systems

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    According to the 2005 International Technology Roadmap for Semiconductors, the integration of emerging nondigital CMOS technologies will require radically different test methods, posing a major challenge for designers and test engineers. One such technology is microelectronic fluidic (MEF) arrays, which have rapidly gained importance in many biological, pharmaceutical, and industrial applications. The advantages of these systems, such as operation speed, use of very small amounts of liquid, on-board droplet detection, signal conditioning, and vast digital signal processing, make them very promising. However, testable design of these devices in a mass-production environment is still in its infancy, hampering their low-cost introduction to the market. This article describes analog and digital MEF design and testing method

    Modeling of an implantable device for remote arterial pressure measurement

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    Cardiovascular diseases are the leading causes of illness and death in Europe, having a major impact on healthcare costs. An intelligent stent (e-stent), capable of obtaining and transmitting measurements of physiological parameters, can be a useful tool for real-time monitorization of arterial blockage without patient hospitalization. In this paper, a behavioral model of a pressure sensing-based e-stent is proposed and simulated under several restenosis conditions. Special attention has been given to the need of an accurate fault model, obtained from realistic finite-element simulations, to ensure long-term reliability; particularly for those faults whose behavior cannot be described by usual analytical models

    Towards a cyber physical system for personalised and automatic OSA treatment

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    Obstructive sleep apnea (OSA) is a breathing disorder that takes place in the course of the sleep and is produced by a complete or a partial obstruction of the upper airway that manifests itself as frequent breathing stops and starts during the sleep. The real-time evaluation of whether or not a patient is undergoing OSA episode is a very important task in medicine in many scenarios, as for example for making instantaneous pressure adjustments that should take place when Automatic Positive Airway Pressure (APAP) devices are used during the treatment of OSA. In this paper the design of a possible Cyber Physical System (CPS) suited to real-time monitoring of OSA is described, and its software architecture and possible hardware sensing components are detailed. It should be emphasized here that this paper does not deal with a full CPS, rather with a software part of it under a set of assumptions on the environment. The paper also reports some preliminary experiments about the cognitive and learning capabilities of the designed CPS involving its use on a publicly available sleep apnea database

    Microelectromechanical Systems and Devices

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    The advances of microelectromechanical systems (MEMS) and devices have been instrumental in the demonstration of new devices and applications, and even in the creation of new fields of research and development: bioMEMS, actuators, microfluidic devices, RF and optical MEMS. Experience indicates a need for MEMS book covering these materials as well as the most important process steps in bulk micro-machining and modeling. We are very pleased to present this book that contains 18 chapters, written by the experts in the field of MEMS. These chapters are groups into four broad sections of BioMEMS Devices, MEMS characterization and micromachining, RF and Optical MEMS, and MEMS based Actuators. The book starts with the emerging field of bioMEMS, including MEMS coil for retinal prostheses, DNA extraction by micro/bio-fluidics devices and acoustic biosensors. MEMS characterization, micromachining, macromodels, RF and Optical MEMS switches are discussed in next sections. The book concludes with the emphasis on MEMS based actuators

    Development Of An Accurate Benchmarking System For Microwave Breast Imaging

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    This thesis is a discussion of the design and implementation of benchmarking system for microwave imaging systems. The current benchmarking tools for microwave imaging setups are not adaptable. A novel method for of the development of a dielectric phantom using regression analysis is presented. This is followed by a discussion of the design of a novel sensor for the purpose of in vivo dielectric properties measurements. The goal is to provide information for microwave tomography algorithms and phantom development based on in vivo dielectric properties of breast tissues Through the progress of this research two major novel advances have been made toward producing a better microwave imaging benchmark. First, a technique for systematically developing a breast phantom using regression analysis has been developed. This defines a process for researchers to produce a phantom quickly and easily, avoiding the simple trial and error development techniques of the past. Secondly, a method for measuring dielectric constant of a material through an embedded sensor was developed. Both advances are very important in producing accurate phantoms, providing in vivo tissue properties for tomography algorithms and designing matching materials for microwave imaging

    Identification and control of diffusive systems applied to charge trapping and thermal space sensors

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    The work underlying this Thesis, has contributed to the main study and characterization of diffusive systems. The research work has been focused on the analysis of two kind of systems. On the one hand, the dynamics of thermal anemometers has been deeply studied. These sensors detect the wind velocity by measuring the power dissipated of a heated element due to forced convection. The thermal dynamics of different sensor structures have been analyzed and modeled during the Thesis work. On the other hand, we have dealed with microelectromechanical systems (MEMS). The dynamics of charge trapped in the dielectric layer of these systems has also been studied. It is know, that this undesired effect has been associated to diffusion phenomena. In this Thesis a characterization method based on the technique of Diffusive Representation (DR), for linear and nonlinear time-varying diffusive systems, is presented. This technique allows to describe a system with an arbitrary order state-space model in the frequency domain. The changes in the dynamics of a system over time may come as a result of the own actuation over the device or as a result of an external disturbance. In the wind sensor case, the time variation of the model comes from the wind, which is an external disturbance, whereas in the MEMS case, changes in the actuation voltage generate time-variation in the model. The state-space models obtained from DR characterization have proven to be able to reproduce and predict the behaviour of the devices under arbitrary excitations. Specifically, in the case of wind sensors, the thermal dynamics of these sensors, under constant temperature operation, has been predicted for different wind velocities using Sliding Mode Controllers. As it has been observed, these controllers also help to understand how the time response of a system, under closed loop, can be accelerated beyond the natural limit imposed by its own thermal circuit if the thermal filter associated to the sensor structure has only one significative time constant. The experimental corroboration of the thermal analysis is presented with various prototypes of wind sensors for Mars atmosphere. On one side, the time-varying thermal dynamics models of two different prototypes of a spherical 3-dimensional wind sensor, developed by the Micro and Nano Technologies group of the UPC, have been obtained. On the other side, the engineering model prototype of the wind sensor of the REMS (Rover Environmental Monitoring Station) instrument that it is currently on board the Curiosity rover in Mars has been characterized. For the characterization of the dynamics of the parasitic charge trapped in the dielectric layer of a MEMS device, the experimental validation is obtained through quasi-differential capacitance measurements of a two-parallel plate structure contactless capacitive MEMS.El trabajo que subyace a esta Tesis, ha contribuido principalmente al estudio y la caracterización de los sistemas difusivos. El trabajo de investigación se ha centrado en el análisis de dos tipos de sistemas. Por un lado, la dinámica de los anemómetros térmicos ha sido estudiada en profundidad. Estos sensores detectan la velocidad del viento a través de la medida de la potencia disipada en un elemento caliente debido a la convección forzada. Durante el trabajo de esta Tesis, se ha analizado y modelado la dinámica térmica de diferentes sensores . Por otro lado, se han tratado también los sistemas microelectromecánicos (MEMS). Se ha estudiado la dinámica de la carga atrapada en la capa dieléctrica de estos sistemas. Este fenómeno lento e indeseado está asociado a fenómenos de difusión. En esta Tesis se presenta un método de caracterización basado en la técnica de Representación Difusa (DR), para sistemas difusivos lineales y no lineales que varían en el tiempo. Esta técnica permite describir un sistema con un modelo de variables de estado de orden arbitrario en el dominio frecuencial. Los cambios en la dinámica de un sistema a lo largo del tiempo pueden ser debidos a la propia actuación sobre el dispositivo o como resultado de una perturbación externa. En el caso del sensor de viento, la variación de tiempo del modelo proviene de la propia variación del viento, la cual es una perturbación externa, mientras que en el caso de los dispositivos MEMS, los cambios en la tensión de actuación generan variaciones en el tiempo en el modelo. Los modelos de variables de estado obtenidos a partir de la caracterización con Representación Difusiva tienen la capacidad de reproducir y predecir el comportamiento de dichos dispositivos ante excitaciones arbitrarias. En concreto, en el caso de los sensores de viento, la dinámica térmica de estos sensores, operando a temperatura constante, se ha predicho para diferentes velocidades de viento, usando la teoría de los Sliding Mode Controllers (Controladores de Modo Deslizante). Tal y como se ha observado, estos controladores ayudan también a comprender cómo la respuesta temporal de un sistema, en lazo cerrado, puede acelerarse más allá del límite natural impuesto por su propio circuito térmico si el filtro térmico asociado a la estructura del sensor tiene solo una constante de tiempo significativa. La corroboración experimental del análisis térmico se presenta con varios prototipos de sensores de viento para la atmósfera de Marte. Por un lado, se han obtenido los modelos de la dinámica térmica variable en el tiempo de dos prototipos diferentes de un sensor de viento 3D esférico, desarrollado por el grupo de Micro y Nano Tecnologías de la UPC. Por otro lado, se ha caracterizado el prototipo de modelo de ingeniería del sensor de viento del instrumento REMS (Rover Environmental Monitoring Station) que está actualmente abordo del rover Curiosity en Marte. Para la caracterización de la dinámica de la carga atrapada en la capa dieléctrica de un dispositivo MEMS, la validación experimental se ha obtenido a través de medidas cuasi-diferenciales de la capacidad de un dispositivo MEMS con estructura de dos placas paralelas

    Identification and control of diffusive systems applied to charge trapping and thermal space sensors

    Get PDF
    The work underlying this Thesis, has contributed to the main study and characterization of diffusive systems. The research work has been focused on the analysis of two kind of systems. On the one hand, the dynamics of thermal anemometers has been deeply studied. These sensors detect the wind velocity by measuring the power dissipated of a heated element due to forced convection. The thermal dynamics of different sensor structures have been analyzed and modeled during the Thesis work. On the other hand, we have dealed with microelectromechanical systems (MEMS). The dynamics of charge trapped in the dielectric layer of these systems has also been studied. It is know, that this undesired effect has been associated to diffusion phenomena. In this Thesis a characterization method based on the technique of Diffusive Representation (DR), for linear and nonlinear time-varying diffusive systems, is presented. This technique allows to describe a system with an arbitrary order state-space model in the frequency domain. The changes in the dynamics of a system over time may come as a result of the own actuation over the device or as a result of an external disturbance. In the wind sensor case, the time variation of the model comes from the wind, which is an external disturbance, whereas in the MEMS case, changes in the actuation voltage generate time-variation in the model. The state-space models obtained from DR characterization have proven to be able to reproduce and predict the behaviour of the devices under arbitrary excitations. Specifically, in the case of wind sensors, the thermal dynamics of these sensors, under constant temperature operation, has been predicted for different wind velocities using Sliding Mode Controllers. As it has been observed, these controllers also help to understand how the time response of a system, under closed loop, can be accelerated beyond the natural limit imposed by its own thermal circuit if the thermal filter associated to the sensor structure has only one significative time constant. The experimental corroboration of the thermal analysis is presented with various prototypes of wind sensors for Mars atmosphere. On one side, the time-varying thermal dynamics models of two different prototypes of a spherical 3-dimensional wind sensor, developed by the Micro and Nano Technologies group of the UPC, have been obtained. On the other side, the engineering model prototype of the wind sensor of the REMS (Rover Environmental Monitoring Station) instrument that it is currently on board the Curiosity rover in Mars has been characterized. For the characterization of the dynamics of the parasitic charge trapped in the dielectric layer of a MEMS device, the experimental validation is obtained through quasi-differential capacitance measurements of a two-parallel plate structure contactless capacitive MEMS.El trabajo que subyace a esta Tesis, ha contribuido principalmente al estudio y la caracterización de los sistemas difusivos. El trabajo de investigación se ha centrado en el análisis de dos tipos de sistemas. Por un lado, la dinámica de los anemómetros térmicos ha sido estudiada en profundidad. Estos sensores detectan la velocidad del viento a través de la medida de la potencia disipada en un elemento caliente debido a la convección forzada. Durante el trabajo de esta Tesis, se ha analizado y modelado la dinámica térmica de diferentes sensores . Por otro lado, se han tratado también los sistemas microelectromecánicos (MEMS). Se ha estudiado la dinámica de la carga atrapada en la capa dieléctrica de estos sistemas. Este fenómeno lento e indeseado está asociado a fenómenos de difusión. En esta Tesis se presenta un método de caracterización basado en la técnica de Representación Difusa (DR), para sistemas difusivos lineales y no lineales que varían en el tiempo. Esta técnica permite describir un sistema con un modelo de variables de estado de orden arbitrario en el dominio frecuencial. Los cambios en la dinámica de un sistema a lo largo del tiempo pueden ser debidos a la propia actuación sobre el dispositivo o como resultado de una perturbación externa. En el caso del sensor de viento, la variación de tiempo del modelo proviene de la propia variación del viento, la cual es una perturbación externa, mientras que en el caso de los dispositivos MEMS, los cambios en la tensión de actuación generan variaciones en el tiempo en el modelo. Los modelos de variables de estado obtenidos a partir de la caracterización con Representación Difusiva tienen la capacidad de reproducir y predecir el comportamiento de dichos dispositivos ante excitaciones arbitrarias. En concreto, en el caso de los sensores de viento, la dinámica térmica de estos sensores, operando a temperatura constante, se ha predicho para diferentes velocidades de viento, usando la teoría de los Sliding Mode Controllers (Controladores de Modo Deslizante). Tal y como se ha observado, estos controladores ayudan también a comprender cómo la respuesta temporal de un sistema, en lazo cerrado, puede acelerarse más allá del límite natural impuesto por su propio circuito térmico si el filtro térmico asociado a la estructura del sensor tiene solo una constante de tiempo significativa. La corroboración experimental del análisis térmico se presenta con varios prototipos de sensores de viento para la atmósfera de Marte. Por un lado, se han obtenido los modelos de la dinámica térmica variable en el tiempo de dos prototipos diferentes de un sensor de viento 3D esférico, desarrollado por el grupo de Micro y Nano Tecnologías de la UPC. Por otro lado, se ha caracterizado el prototipo de modelo de ingeniería del sensor de viento del instrumento REMS (Rover Environmental Monitoring Station) que está actualmente abordo del rover Curiosity en Marte. Para la caracterización de la dinámica de la carga atrapada en la capa dieléctrica de un dispositivo MEMS, la validación experimental se ha obtenido a través de medidas cuasi-diferenciales de la capacidad de un dispositivo MEMS con estructura de dos placas paralelas.Postprint (published version

    Reinforced limit of a MEMS model with heterogeneous dielectric properties

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    A MEMS model with an insulating layer is considered and its reinforced limit is derived by means of a Gamma convergence approach when the thickness of the layer tends to zero. The limiting model inherits the dielectric properties of the insulating layer
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