793 resultados para mota, nodo, sensor
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En el presente estudio, una serie de pares de imágenes consecutivas del sensor Advance Very High Resolution Radiometer separadas entre si 24 horas son utilizadas con el objetivo de deducir velocidades de flujo superficial en el área del afloramiento del NW de África. El método utilizado es el método de las correlaciones cruzadas bidimensionales entre imágenes de satélite sucesivas, que representan el movimiento de las estructuras observadas. Los resultados de aplicar este método son analizados y discutidos. ABSTRACT In this study, some pairs of consecutive satellite images from the Advance Very High Resolution Radiometer (AVHRR) with a time separation of 24 hours are used in order to derive the sea surface flow velocities in the Northwest African up welling area. The method used is the Maximum Cross Correlation Method (MCC), and it consists in locate the maxima of bidimensional cross correlations between consecutive images. That maxima represent the movement of the observed features. The results are analyzed and discussed
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Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)
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La terapia di resincronizzazione cardiaca (TRC) è un presidio non farmacologico che riduce la mortalità e la morbosità nei pazienti con scompenso refrattario alla terapia medica. La maggior parte dei dati riguardanti gli effetti della TRC coinvolgono i pazienti con le indicazioni consolidate seguenti: classe NYHA III-IV, ritardo della conduzione ventricolare (QRS>opp= 20 msec), disfunzione sistolica ventricolare sinistra (frazione di eiezione ventricolare sinistra >opp= 35%) e ritmo sinusale (RS). Mentre è noto che la fibrillazione atriale permanente (FA) sia presente in una porzione consistente dei pazienti con scompenso cardiaco, vi sono pochi dati riguardanti la sopravvivenza e gli effetti a lungo-termine della TRC in pazienti con scompenso cardiaco e fibrillazione atriale (FA); la maggior parte degli studi sono osservazionali ed hanno dimostrato che la TRC potrebbe conferire dei benefici a corto e medio termine anche in pazienti con FA permanente. Solo recentemente un ampio studio osservazionale ha descritto che, a lungo-termine, la TRC migliora significativamente la capacità funzionale, la frazione di eiezione e induce il rimodellamento inverso del ventricolo sinistro solamente in quei pazienti con FA dove la TRC viene combinata con l’ablazione del nodo atrio-ventricolare (NAV). La strategia ablativa del NAV infatti conferendo una stimolazione completa e costante, permette di eliminare gli effetti del ritmo spontaneo di FA (ritmo irregolare e tendenzialmente tachicardico) cheinterferisce in maniera importante con la stimolazione biventricolare in particolare durante gli sforzi fisici. Sulla base di queste premesse il presente studio si propone di valutare gli effetti a lungo-termine della TRC su pazienti con scompenso cardiaco e FA permanente focalizzando su due aspetti principali: 1) confrontando la sopravvivenza di pazienti con FA permanente rispetto ai pazienti in RS; 2) confrontando la sopravvivenza di pazienti in FA suddivisi secondo la modalità di controllo della frequenza con somministrazione di farmaci antiaritmici (gruppo FA-farm) oppure mediante controllo ablazione del NAV (gruppo FA-abl). Metodi e risultati: Sono presentati i dati di 1303 pazienti sottoposti consecutivamente ad impianto di dispositivo per la TRC e seguiti per un periodo mediano di 24 mesi. Diciotto pazienti sono stati persi durante il follow-up per cui la popolazione dello studio è rappresentata da una popolazione totale di 1295 pazienti di cui 1042 in RS e 243 (19%) in FA permanente. Nei pazienti con FA il controllo della frequenza cardiaca è stato effettuato mediante la somministrazione di farmaci anti-aritmici (gruppo FA-farm: 125 pazienti) oppure mediante ablazione del NAV (FA-abl: 118 pazienti). Rispetto ai pazienti in RS, i pazienti in FA permanente erano significativamente più vecchi, più spesso presentavano eziologia nonischemica, avevano una frazione di eiezione più elevata al preimpianto, una durata del QRS minore e erano più raramente trattati con un defibrillatore. Lungo un follow-up mediano di 24 mesi, 170/1042 pazienti in RS e 39/243 in FA sono deceduti (l’incidenza di mortalità a 1 anno era di 8,4% e 8,9%, rispettivamente). I rapporti di rischio derivanti dall’analisi multivariata con il 95% dell’intervallo di confidenza (HR, 95% CI) erano simili sia per la morte per tutte le cause che per la morte cardiaca (0.9 [0.57-1.42], p=0.64 e 1.00 [0.60-1.66] p=0.99, rispettivamente). Fra i pazienti con FA, il gruppo FA-abl presentava una durata media del QRS minore ed era meno frequentemente trattato con il defibrillatore impiantabile rispetto al gruppo FA-farm. Soli 11/118 pazienti del FA-abl sono deceduti rispetto a 28/125 nel gruppo FA-farm (mortalità cumulativa a 1 anno di 9,3% e 15,2% rispettivamente, p<0.001), con HR, 95% CI per FA-abl vs FA-farm di 0.15 [0.05-0.43],,p<0.001 per la mortalità per tutte le cause, di 0.18 [0.06-0.57], p=0.004 per la mortalità cardiaca, e di 0.09 [0.02-0.42], p<0.002 per la mortalità da scompenso cardiaco. Conclusioni: I pazienti con scompenso cardiaco e FA permanente trattati con la TRC presentano una simile sopravvivenza a lungo-termine di pazienti in RS. Nei pazienti in FA l’ablazione del NAV in aggiunta alla TRC migliora significativamente la sopravvivenza rispetto alla sola TRC; questo effetto è ottenuto primariamente attraverso una riduzione della morte per scompenso cardiaco.
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Lo studio qui condotto è atto a valutare il livello di servizio della rotatoria posta in corrispondenza del nodo Aeroporto-Triumvirato-Tangenziale, nodo che ha un grande interesse dal punto di vista del traffico veicolare. Si illustra la situazione precedente la realizzazione dell’opera e quindi il livello di servizio con il software HCS2000. Successivamente, si studia il comportamento della rotatoria senza sottopasso estrapolando i risultati per il livello di servizio con il software SIDRA. Con lo stesso strumento di valutazione, poi lo stato attuale, la rotatoria con il sottopasso. L’ultima parte dello studio riguarda una simulazione che nasce dal confronto di flussi di movimenti negli anni 1999 e 2006. Quindi è stata valutata una situazione probabile, nata dall’aumento percentuale dei movimenti su tutti gli accessi e la relativa proposta di intervento.
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[EN]Detecting people is a key capability for robots that operate in populated environments. In this paper, we have adopted a hierarchical approach that combines classifiers created using supervised learning in order to identify whether a person is in the view-scope of the robot or not. Our approach makes use of vision, depth and thermal sensors mounted on top of a mobile platform.
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[EN]An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveil- lance systems. Potential applications where this technology can be ap- plied include those related to security, safety, energy saving or fraud control. In this paper we present a novel con guration of a multi-sensor system combining both visual and range data specially suited for trou- blesome scenarios such as public transportation. The approach applies probabilistic estimation lters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.
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Nowadays, there is an increasing interest in wireless sensor networks (WSN) for environmental monitoring systems because it can be used to improve the quality of life and living conditions are becoming a major concern to people. This paper describes the design and development of a real time monitoring system based on ZigBee WSN characterized by a lower energy consumption, low cost, reduced dimensions and fast adaptation to the network tree topology. The developed system encompasses an optimized sensing process about environmental parameters, low rate transmission from sensor nodes to the gateway, packet parsing and data storing in a remote database and real time visualization through a web server.
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Large scale wireless adhoc networks of computers, sensors, PDAs etc. (i.e. nodes) are revolutionizing connectivity and leading to a paradigm shift from centralized systems to highly distributed and dynamic environments. An example of adhoc networks are sensor networks, which are usually composed by small units able to sense and transmit to a sink elementary data which are successively processed by an external machine. Recent improvements in the memory and computational power of sensors, together with the reduction of energy consumptions, are rapidly changing the potential of such systems, moving the attention towards datacentric sensor networks. A plethora of routing and data management algorithms have been proposed for the network path discovery ranging from broadcasting/floodingbased approaches to those using global positioning systems (GPS). We studied WGrid, a novel decentralized infrastructure that organizes wireless devices in an adhoc manner, where each node has one or more virtual coordinates through which both message routing and data management occur without reliance on either flooding/broadcasting operations or GPS. The resulting adhoc network does not suffer from the deadend problem, which happens in geographicbased routing when a node is unable to locate a neighbor closer to the destination than itself. WGrid allow multidimensional data management capability since nodes' virtual coordinates can act as a distributed database without needing neither special implementation or reorganization. Any kind of data (both single and multidimensional) can be distributed, stored and managed. We will show how a location service can be easily implemented so that any search is reduced to a simple query, like for any other data type. WGrid has then been extended by adopting a replication methodology. We called the resulting algorithm WRGrid. Just like WGrid, WRGrid acts as a distributed database without needing neither special implementation nor reorganization and any kind of data can be distributed, stored and managed. We have evaluated the benefits of replication on data management, finding out, from experimental results, that it can halve the average number of hops in the network. The direct consequence of this fact are a significant improvement on energy consumption and a workload balancing among sensors (number of messages routed by each node). Finally, thanks to the replications, whose number can be arbitrarily chosen, the resulting sensor network can face sensors disconnections/connections, due to failures of sensors, without data loss. Another extension to {WGrid} is {W*Grid} which extends it by strongly improving network recovery performance from link and/or device failures that may happen due to crashes or battery exhaustion of devices or to temporary obstacles. W*Grid guarantees, by construction, at least two disjoint paths between each couple of nodes. This implies that the recovery in W*Grid occurs without broadcasting transmissions and guaranteeing robustness while drastically reducing the energy consumption. An extensive number of simulations shows the efficiency, robustness and traffic road of resulting networks under several scenarios of device density and of number of coordinates. Performance analysis have been compared to existent algorithms in order to validate the results.
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In fluid dynamics research, pressure measurements are of great importance to define the flow field acting on aerodynamic surfaces. In fact the experimental approach is fundamental to avoid the complexity of the mathematical models for predicting the fluid phenomena. It’s important to note that, using in-situ sensor to monitor pressure on large domains with highly unsteady flows, several problems are encountered working with the classical techniques due to the transducer cost, the intrusiveness, the time response and the operating range. An interesting approach for satisfying the previously reported sensor requirements is to implement a sensor network capable of acquiring pressure data on aerodynamic surface using a wireless communication system able to collect the pressure data with the lowest environmental–invasion level possible. In this thesis a wireless sensor network for fluid fields pressure has been designed, built and tested. To develop the system, a capacitive pressure sensor, based on polymeric membrane, and read out circuitry, based on microcontroller, have been designed, built and tested. The wireless communication has been performed using the Zensys Z-WAVE platform, and network and data management have been implemented. Finally, the full embedded system with antenna has been created. As a proof of concept, the monitoring of pressure on the top of the mainsail in a sailboat has been chosen as working example.
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Recent progress in microelectronic and wireless communications have enabled the development of low cost, low power, multifunctional sensors, which has allowed the birth of new type of networks named wireless sensor networks (WSNs). The main features of such networks are: the nodes can be positioned randomly over a given field with a high density; each node operates both like sensor (for collection of environmental data) as well as transceiver (for transmission of information to the data retrieval); the nodes have limited energy resources. The use of wireless communications and the small size of nodes, make this type of networks suitable for a large number of applications. For example, sensor nodes can be used to monitor a high risk region, as near a volcano; in a hospital they could be used to monitor physical conditions of patients. For each of these possible application scenarios, it is necessary to guarantee a trade-off between energy consumptions and communication reliability. The thesis investigates the use of WSNs in two possible scenarios and for each of them suggests a solution that permits to solve relating problems considering the trade-off introduced. The first scenario considers a network with a high number of nodes deployed in a given geographical area without detailed planning that have to transmit data toward a coordinator node, named sink, that we assume to be located onboard an unmanned aerial vehicle (UAV). This is a practical example of reachback communication, characterized by the high density of nodes that have to transmit data reliably and efficiently towards a far receiver. It is considered that each node transmits a common shared message directly to the receiver onboard the UAV whenever it receives a broadcast message (triggered for example by the vehicle). We assume that the communication channels between the local nodes and the receiver are subject to fading and noise. The receiver onboard the UAV must be able to fuse the weak and noisy signals in a coherent way to receive the data reliably. It is proposed a cooperative diversity concept as an effective solution to the reachback problem. In particular, it is considered a spread spectrum (SS) transmission scheme in conjunction with a fusion center that can exploit cooperative diversity, without requiring stringent synchronization between nodes. The idea consists of simultaneous transmission of the common message among the nodes and a Rake reception at the fusion center. The proposed solution is mainly motivated by two goals: the necessity to have simple nodes (to this aim we move the computational complexity to the receiver onboard the UAV), and the importance to guarantee high levels of energy efficiency of the network, thus increasing the network lifetime. The proposed scheme is analyzed in order to better understand the effectiveness of the approach presented. The performance metrics considered are both the theoretical limit on the maximum amount of data that can be collected by the receiver, as well as the error probability with a given modulation scheme. Since we deal with a WSN, both of these performance are evaluated taking into consideration the energy efficiency of the network. The second scenario considers the use of a chain network for the detection of fires by using nodes that have a double function of sensors and routers. The first one is relative to the monitoring of a temperature parameter that allows to take a local binary decision of target (fire) absent/present. The second one considers that each node receives a decision made by the previous node of the chain, compares this with that deriving by the observation of the phenomenon, and transmits the final result to the next node. The chain ends at the sink node that transmits the received decision to the user. In this network the goals are to limit throughput in each sensor-to-sensor link and minimize probability of error at the last stage of the chain. This is a typical scenario of distributed detection. To obtain good performance it is necessary to define some fusion rules for each node to summarize local observations and decisions of the previous nodes, to get a final decision that it is transmitted to the next node. WSNs have been studied also under a practical point of view, describing both the main characteristics of IEEE802:15:4 standard and two commercial WSN platforms. By using a commercial WSN platform it is realized an agricultural application that has been tested in a six months on-field experimentation.