Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

New polymeric materials for vascular surgery

The dramatic impact that vascular diseases have on human life quality and expectancy nowadays is the reason why both medical and scientific communities put great effort in discovering new and effective ways to fight vascular pathologies. Among the many different treatments, endovascular surgery is a minimally-invasive technique that makes use of X-ray fluoroscopy to obtain real-time images of the patient during interventions. In this context radiopaque biomaterials, i.e. materials able to absorb X-ray radiation, play a fundamental role as they are employed both to enhance visibility of devices during interventions and to protect medical staff and patients from X-ray radiations. Organic-inorganic hybrids are materials that combine characteristics of organic polymers with those of inorganic metal oxides. These materials can be synthesized via the sol-gel process and can be easily applied as thin coatings on different kinds of substrates. Good radiopacity of organic-inorganic hybrids has been recently reported suggesting that these materials might find applications in medical fields where X-ray absorption and visibility is required. The present PhD thesis aimed at developing and characterizing new radiopaque organic-inorganic hybrid materials that can find application in the vascular surgery field as coatings for the improvement of medical devices traceability as well as for the production of X-ray shielding objects and garments. Novel organic-inorganic hybrids based on different polyesters (poly-lactic acid and poly-ε-caprolactone) and polycarbonate (poly-trimethylene carbonate) as the polymeric phase and on titanium oxide as the inorganic phase were synthesized. Study of the phase interactions in these materials allowed to demonstrate that Class II hybrids (where covalent bonds exists between the two phases) can be obtained starting from any kind of polyester or polycarbonate, without the need of polymer pre-functionalization, thanks to the occurrence of transesterification reactions operated by inorganic molecules on ester and carbonate moieties. Polyester based hybrids were successfully coated via dip coating on different kinds of textiles. Coated textiles showed improved radiopacity with respect to the plain fabric while remaining soft to the touch. The hybrid was able to coat single fibers of the yarn rather than coating the yarn as a whole. Openings between yarns were maintained and therefore fabric breathability was preserved. Such coatings are promising for the production of light-weight garments for X-ray protection of medical staff during interventional fluoroscopy, which will help preventing pathologies that stem from chronic X-ray exposure. A means to increase the protection capacity of hybrid-coated fabrics was also investigated and implemented in this thesis. By synthesizing the hybrid in the presence of a suspension of radiopaque tantalum nanoparticles, PDMS-titania hybrid materials with tunable radiopacity were developed and were successfully applied as coatings. A solution for enhancing medical device radiopacity was also successfully investigated. High metal radiopacity was associated with good mechanical and protective properties of organic-inorganic hybrids in the form of a double-layer coating. Tantalum was employed as the constituent of the first layer deposited on sample substrates by means of a sputtering technique. The second layer was composed of a hybrid whose constituents are well-known biocompatible organic and inorganic components, such as the two polymers PCL and PDMS, and titanium oxide, respectively. The metallic layer conferred to the substrate good X-ray visibility. A correlation between radiopacity and coating thickness derived during this study allows to tailor radiopacity simply by controlling the metal layer sputtering deposition time. The applied metal deposition technique also permits easy shaping of the radiopaque layer, allowing production of radiopaque markers for medical devices that can be unambiguously identified by surgeons during implantation and in subsequent radiological investigations. Synthesized PCL-titania and PDMS-titania hybrids strongly adhered to substrates and show good biocompatibility as highlighted by cytotoxicity tests. The PDMS-titania hybrid coating was also characterized by high flexibility that allows it to stand large substrate deformations without detaching nor cracking, thus being suitable for application on flexible medical devices.

Analyse von Middleware-Technologien bzgl. Performanz und ihrer Eignung für lose und eng gekoppelte verteilte Anwendungen

Die vorliegende Dissertation analysiert die Middleware- Technologien CORBA (Common Object Request Broker Architecture), COM/DCOM (Component Object Model/Distributed Component Object Model), J2EE (Java-2-Enterprise Edition) und Web Services (inklusive .NET) auf ihre Eignung bzgl. eng und lose gekoppelten verteilten Anwendungen. Zusätzlich werden primär für CORBA die dynamischen CORBA-Komponenten DII (Dynamic Invocation Interface), IFR (Interface Repository) und die generischen Datentypen Any und DynAny (dynamisches Any) im Detail untersucht. Ziel ist es, a. konkrete Aussagen über diese Komponenten zu erzielen, und festzustellen, in welchem Umfeld diese generischen Ansätze ihre Berechtigung finden. b. das zeitliche Verhalten der dynamischen Komponenten bzgl. der Informationsgewinnung über die unbekannten Objekte zu analysieren. c. das zeitliche Verhalten der dynamischen Komponenten bzgl. ihrer Kommunikation zu messen. d. das zeitliche Verhalten bzgl. der Erzeugung von generischen Datentypen und das Einstellen von Daten zu messen und zu analysieren. e. das zeitliche Verhalten bzgl. des Erstellens von unbekannten, d. h. nicht in IDL beschriebenen Datentypen zur Laufzeit zu messen und zu analysieren. f. die Vorzüge/Nachteile der dynamischen Komponenten aufzuzeigen, ihre Einsatzgebiete zu definieren und mit anderen Technologien wie COM/DCOM, J2EE und den Web Services bzgl. ihrer Möglichkeiten zu vergleichen. g. Aussagen bzgl. enger und loser Koppelung zu tätigen. CORBA wird als standardisierte und vollständige Verteilungsplattform ausgewählt, um die o. a. Problemstellungen zu untersuchen. Bzgl. seines dynamischen Verhaltens, das zum Zeitpunkt dieser Ausarbeitung noch nicht oder nur unzureichend untersucht wurde, sind CORBA und die Web Services richtungsweisend bzgl. a. Arbeiten mit unbekannten Objekten. Dies kann durchaus Implikationen bzgl. der Entwicklung intelligenter Softwareagenten haben. b. der Integration von Legacy-Applikationen. c. der Möglichkeiten im Zusammenhang mit B2B (Business-to-Business). Diese Problemstellungen beinhalten auch allgemeine Fragen zum Marshalling/Unmarshalling von Daten und welche Aufwände hierfür notwendig sind, ebenso wie allgemeine Aussagen bzgl. der Echtzeitfähigkeit von CORBA-basierten, verteilten Anwendungen. Die Ergebnisse werden anschließend auf andere Technologien wie COM/DCOM, J2EE und den Web Services, soweit es zulässig ist, übertragen. Die Vergleiche CORBA mit DCOM, CORBA mit J2EE und CORBA mit Web Services zeigen im Detail die Eignung dieser Technologien bzgl. loser und enger Koppelung. Desweiteren werden aus den erzielten Resultaten allgemeine Konzepte bzgl. der Architektur und der Optimierung der Kommunikation abgeleitet. Diese Empfehlungen gelten uneingeschränkt für alle untersuchten Technologien im Zusammenhang mit verteilter Verarbeitung.

Development of Software Tools for the Test of Ultra Wide Band Receivers

In the last years, the importance of locating people and objects and communicating with them in real time has become a common occurrence in every day life. Nowadays, the state of the art of location systems for indoor environments has not a dominant technology as instead occurs in location systems for outdoor environments, where GPS is the dominant technology. In fact, each location technology for indoor environments presents a set of features that do not allow their use in the overall application scenarios, but due its characteristics, it can well coexist with other similar technologies, without being dominant and more adopted than the others indoor location systems. In this context, the European project SELECT studies the opportunity of collecting all these different features in an innovative system which can be used in a large number of application scenarios. The goal of this project is to realize a wireless system, where a network of fixed readers able to query one or more tags attached to objects to be located. The SELECT consortium is composed of European institutions and companies, including Datalogic S.p.A. and CNIT, which deal with software and firmware development of the baseband receiving section of the readers, whose function is to acquire and process the information received from generic tagged objects. Since the SELECT project has an highly innovative content, one of the key stages of the system design is represented by the debug phase. This work aims to study and develop tools and techniques that allow to perform the debug phase of the firmware of the baseband receiving section of the readers.

La sostenibilità ambientale dal Progetto Edilizio al Piano Urbano: L'integrazione della variabile energetica nella pianificazione del territorio

La questione energetica ha assunto, negli ultimi anni, un ruolo centrale nel dibattito mondiale in relazione a quattro fattori principali: la non riproducibilità delle risorse naturali, l’aumento esponenziale dei consumi, gli interessi economici e la salvaguardia dell'equilibrio ambientale e climatico del nostro Pianeta. E’ necessario, dunque, cambiare il modello di produzione e consumo dell’energia soprattutto nelle città, dove si ha la massima concentrazione dei consumi energetici. Per queste ragioni, il ricorso alle Fonti Energetiche Rinnovabili (FER) si configura ormai come una misura necessaria, opportuna ed urgente anche nella pianificazione urbanistica. Per migliorare la prestazione energetica complessiva del sistema città bisogna implementare politiche di governo delle trasformazioni che escano da una logica operativa “edificio-centrica” e ricomprendano, oltre al singolo manufatto, le aggregazioni di manufatti e le loro relazioni/ interazioni in termini di input e output materico-energetiche. La sostituzione generalizzata del patrimonio edilizio esistente con nuovi edifici iper-tecnologici, è improponibile. In che modo quindi, è possibile ridefinire la normativa e la prassi urbanistica per generare tessuti edilizi energeticamente efficienti? La presente ricerca propone l’integrazione tra la nascente pianificazione energetica del territorio e le più consolidate norme urbanistiche, nella generazione di tessuti urbani “energy saving” che aggiungano alle prestazioni energetico-ambientali dei singoli manufatti quelle del contesto, in un bilancio energetico complessivo. Questo studio, dopo aver descritto e confrontato le principali FER oggi disponibili, suggerisce una metodologia per una valutazione preliminare del mix di tecnologie e di FER più adatto per ciascun sito configurato come “distretto energetico”. I risultati di tale processo forniscono gli elementi basilari per predisporre le azioni necessarie all’integrazione della materia energetica nei Piani Urbanistici attraverso l’applicazione dei principi della perequazione nella definizione di requisiti prestazionali alla scala insediativa, indispensabili per un corretto passaggio alla progettazione degli “oggetti” e dei “sistemi” urbani.

Il Fantastico e gli Oggetti del primo Novecento

La ricerca si propone di inquisire il modo in cui il fantastico del primo Novecento utilizza la rappresentazione finzionale degli oggetti ai fini della propria emersione. Si ipotizza che certi schemi rappresentativi elaborati da autori fantastici come Hoffmann, Poe o Maupassant siano riscontrabili anche nella letteratura del XX secolo, e vengano reimpiegati per rispondere a una mutata situazione socioculturale. La tesi è bipartita: la prima parte, che è a sua volta suddivisa in due capitoli, funziona da cornice teorica e storica alle analisi testuali. Vi si discute del concetto di immagine; e da tale discussione viene derivata una precisa idea di spazio e di oggetto letterari. In seguito si procede a una ricostruzione della storia del fantastico ottocentesco (dalla quale non sono assenti riflessioni teoriche e in particolare genologiche), che da un lato è volta a storicizzare l’idea di “genere fantastico”; dall’altro ha come obiettivo l’identificazione di una tipologia di oggetti strutturalmente legata a quel genere narrativo. Due sono le classi di oggetti così individuate, e altrettanti i capitoli che compongono la seconda parte del lavoro. Entrambi i tipi di oggetto, che per semplicità si possono chiamare oggetti-feticcio e oggetti spettrali, stanno a metà strada tra immaginario e reale; ma mentre l’oggetto-feticcio ha qualcosa in più rispetto a un oggetto descritto realisticamente, l’oggetto spettrale ha un che di deficitario, e non giunge al risultato di una completa materializzazione. Tra gli autori affrontati compaiono Papini, Pirandello, Bontempelli, Savinio, Landolfi; né mancano riferimenti ad autori di altre nazioni da Kafka a Sartre, da James a Virginia Woolf, in ottemperanza all’idea di considerare il fantastico italiano all’interno di una più ampia geografia letteraria.

Sampling methods for low-frequency electromagnetic imaging

For the detection of hidden objects by low-frequency electromagnetic imaging the Linear Sampling Method works remarkably well despite the fact that the rigorous mathematical justification is still incomplete. In this work, we give an explanation for this good performance by showing that in the low-frequency limit the measurement operator fulfills the assumptions for the fully justified variant of the Linear Sampling Method, the so-called Factorization Method. We also show how the method has to be modified in the physically relevant case of electromagnetic imaging with divergence-free currents. We present numerical results to illustrate our findings, and to show that similar performance can be expected for the case of conducting objects and layered backgrounds.

The evolution of massive clumps in star forming regions

In this thesis two related arguments are investigated: - The first stages of the process of massive star formation, investigating the physical conditions and -properties of massive clumps in different evolutionary stages, and their CO depletion; - The influence that high-mass stars have on the nearby material and on the activity of star formation. I characterise the gas and dust temperature, mass and density of a sample of massive clumps, and analyse the variation of these properties from quiescent clumps, without any sign of active star formation, to clumps likely hosting a zero-age main sequence star. I briefly discuss CO depletion and recent observations of several molecular species, tracers of Hot Cores and/or shocked gas, of a subsample of these clumps. The issue of CO depletion is addressed in more detail in a larger sample consisting of the brightest sources in the ATLASGAL survey: using a radiative tranfer code I investigate how the depletion changes from dark clouds to more evolved objects, and compare its evolution to what happens in the low-mass regime. Finally, I derive the physical properties of the molecular gas in the photon-dominated region adjacent to the HII region G353.2+0.9 in the vicinity of Pismis 24, a young, massive cluster, containing some of the most massive and hottest stars known in our Galaxy. I derive the IMF of the cluster and study the star formation activity in its surroundings. Much of the data analysis is done with a Bayesian approach. Therefore, a separate chapter is dedicated to the concepts of Bayesian statistics.

Neuronale Netzwerke des Zentralkomplexes und ein räumliches Arbeitsgedächtnis von Drosophila melanogaster

Zielgerichtete Orientierung ermöglicht es Lebewesen, überlebenswichtige Aufgaben, wie die Suche nach Ressourcen, Fortpflanzungspartnern und sicheren Plätzen zu bewältigen. Dafür ist es essentiell, die Umgebung sensorisch wahrzunehmen, frühere Erfahrungen zu speichern und wiederabzurufen und diese Informationen zu integrieren und in motorische Aktionen umzusetzen.rnWelche Neuronengruppen vermitteln zielgerichtete Orientierung im Gehirn einer Fliege? Welche sensorischen Informationen sind in einem gegebenen Kontext relevant und wie werden diese Informationen sowie gespeichertes Vorwissen in motorische Aktionen übersetzt? Wo findet im Gehirn der Übergang von der sensorischen Verarbeitung zur motorischen Kontrolle statt? rnDer Zentralkomplex, ein Verbund von vier Neuropilen des Zentralhirns von Drosophila melanogaster, fungiert als Übergang zwischen in den optischen Loben vorverarbeiteten visuellen Informationen und prämotorischem Ausgang. Die Neuropile sind die Protocerebralbrücke, der Fächerförmige Körper, der Ellipsoidkörper und die Noduli. rnIn der vorliegenden Arbeit konnte gezeigt werden, dass Fruchtfliegen ein räumliches Arbeitsgedächtnis besitzen. Dieses Gedächtnis kann aktuelle visuelle Information ersetzen, wenn die Sicht auf das Zielobjekt verloren geht. Dies erfordert die sensorische Wahrnehmung von Zielobjekten, die Speicherung der Position, die kontinuierliche Integration von Eigen-und Objektposition, sowie die Umsetzung der sensorischen Information in zielgerichtete Bewegung. Durch konditionale Expression von Tetanus Toxin mittels des GAL4/UAS/GAL80ts Systems konnte gezeigt werden, dass die Ringneurone, welche in den Ellipsoidkörper projizieren, für das Orientierungsgedächtnis notwendig sind. Außerdem konnte gezeigt werden, dass Fliegen, denen die ribosomale Serinkinase S6KII fehlt, die Richtung verlieren, sobald keine Objekte mehr sichtbar sind und, dass die partielle Rettung dieser Kinase ausschließlich in den Ringneuronenklassen R3 und R4d hinreichend ist, um das Gedächtnis wieder herzustellen. Bei dieser Gedächtnisleistung scheint es sich um eine idiothetische Form der Orientierung zu handeln. rn Während das räumliche Arbeitsgedächtnis nach Verschwinden von Objekten relevant ist, wurde in der vorliegende Arbeit auch die Vermittlung zielgerichteter Bewegung auf sichtbare Objekte untersucht. Dabei wurde die zentrale Frage bearbeitet, welche Neuronengruppen visuelle Orientierung vermitteln. Anhand von Gehirnstrukturmutanten konnte gezeigt werden, dass eine intakte Protocerebralbrücke notwendig ist, um Laufgeschwindigkeit, Laufaktivität und Zielgenauigkeit bei der Ansteuerung visueller Stimuli korrekt zu vermitteln. Dabei scheint das Horizontale Fasersystem, welches von der Protocerebralbrücke über den Fächerförmigen Körper auf den Zentralkomplex assoziierte Neuropile, die Ventralkörper, projiziert, notwendig für die lokomotorische Kontrolle und die zielgenaue Bewegung zu sein. Letzeres konnte zum einen durch Blockade der synaptischen Transmission anhand konditionaler Tetanus Toxin Expression mittels des GAL4/UAS/GAL80ts Systems im Horizontalen Fasersystem gezeigt werden;. zum anderen auch durch partielle Rettung der in den Strukturmutanten betroffenen Gene. rn Den aktuellen Ergebnissen und früheren Studien folgend, ergibt sich dabei ein Modell, wie zielgerichtete Bewegung auf visuelle Stimuli neuronal vermittelt werden könnte. Nach diesem Modell bildet die Protocerebralbrücke die Azimuthpositionen von Objekten ab und das Horizontale Fasersystem vermittelt die entsprechende lokomotorische Wo-Information für zielgerichtete Bewegungen. Die Eigenposition in Relation zum Zielobjekt wird über die Ringneurone und den Ellipsoidkörper vermittelt. Wenn das Objekt aus der Sicht verschwindet, kann die Relativposition ideothetisch ermittelt werden und integriert werden mit Vorinformation über das Zielobjekt, die im Fächerförmigen Körper abgelegt ist (Was-Information). Die resultierenden Informationen könnten dann über das Horizontale Fasersystem in den Ventralkörpern auf absteigende Neurone gelangen und in den Thorax zu den motorischen Zentren weitergeleitet werden.rn

Structural patterns for document engineering: from an empirical bottom-up analysis to an ontological theory

This thesis aims at investigating a new approach to document analysis based on the idea of structural patterns in XML vocabularies. My work is founded on the belief that authors do naturally converge to a reasonable use of markup languages and that extreme, yet valid instances are rare and limited. Actual documents, therefore, may be used to derive classes of elements (patterns) persisting across documents and distilling the conceptualization of the documents and their components, and may give ground for automatic tools and services that rely on no background information (such as schemas) at all. The central part of my work consists in introducing from the ground up a formal theory of eight structural patterns (with three sub-patterns) that are able to express the logical organization of any XML document, and verifying their identifiability in a number of different vocabularies. This model is characterized by and validated against three main dimensions: terseness (i.e. the ability to represent the structure of a document with a small number of objects and composition rules), coverage (i.e. the ability to capture any possible situation in any document) and expressiveness (i.e. the ability to make explicit the semantics of structures, relations and dependencies). An algorithm for the automatic recognition of structural patterns is then presented, together with an evaluation of the results of a test performed on a set of more than 1100 documents from eight very different vocabularies. This language-independent analysis confirms the ability of patterns to capture and summarize the guidelines used by the authors in their everyday practice. Finally, I present some systems that work directly on the pattern-based representation of documents. The ability of these tools to cover very different situations and contexts confirms the effectiveness of the model.

Quantum solitons in the XXZ model with staggered external magnetic field

The 1-D 1/2-spin XXZ model with staggered external magnetic field, when restricting to low field, can be mapped into the quantum sine-Gordon model through bosonization: this assures the presence of soliton, antisoliton and breather excitations in it. In particular, the action of the staggered field opens a gap so that these physical objects are stable against energetic fluctuations. In the present work, this model is studied both analytically and numerically. On the one hand, analytical calculations are made to solve exactly the model through Bethe ansatz: the solution for the XX + h staggered model is found first by means of Jordan-Wigner transformation and then through Bethe ansatz; after this stage, efforts are made to extend the latter approach to the XXZ + h staggered model (without finding its exact solution). On the other hand, the energies of the elementary soliton excitations are pinpointed through static DMRG (Density Matrix Renormalization Group) for different values of the parameters in the hamiltonian. Breathers are found to be in the antiferromagnetic region only, while solitons and antisolitons are present both in the ferromagnetic and antiferromagnetic region. Their single-site z-magnetization expectation values are also computed to see how they appear in real space, and time-dependent DMRG is employed to realize quenches on the hamiltonian parameters to monitor their time-evolution. The results obtained reveal the quantum nature of these objects and provide some information about their features. Further studies and a better understanding of their properties could bring to the realization of a two-level state through a soliton-antisoliton pair, in order to implement a qubit.

Non-thermal properties of two galaxy filament candidates from JVLA observations

Large-scale structures can be considered an interesting and useful "laboratory" to better investigate the Universe; in particular the filaments connecting clusters and superclusters of galaxies can be a powerful tool for this intent, since they are not virialised systems yet. The large structures in the Universe have been studied in different bands, in particular the present work takes into consideration the emission in the radio band. In the last years both compact and diffuse radio emission have been detected, revealing to be associated to single objects and clusters of galaxies respectively. The detection of these sources is important, because the radiation process is the synchrotron emission, which in turn is linked to the presence of a magnetic field: therefore studying these radio sources can help in investigating the magnetic field which permeates different portions of space. Furthermore, radio emission in optical filaments have been detected recently, opening new chances to further improve the understanding of structure formation. Filaments can be seen as the net which links clusters and superclusters. This work was made with the aim of investigating non-thermal properties in low-density regions, looking for possible filaments associated to the diffuse emission. The analysed sources are 0917+75, which is located at a redshift z = 0.125, and the double cluster system A399-A401, positioned at z = 0.071806 and z = 0.073664 respectively. Data were taken from VLA/JVLA observations, and reduced and calibrated with the package AIPS, following the standard procedure. Isocountour and polarisation maps were yielded, allowing to derive the main physical properties. Unfortunately, because of a low quality data for A399-A401, it was not possible to see any radio halo or bridge.

Neurophysiological correlates of delinquent behaviour in adult subjects with ADHD

The attention deficit/hyperactivity disorder (ADHD) shows an increased prevalence in arrested offenders compared to the normal population. The aim of the present study was to investigate whether ADHD symptoms are a major risk factor for criminal behaviour, or whether further deficits, mainly abnormalities in emotion-processing, have to be considered as important additional factors that promote delinquency in the presence of ADHD symptomatology. Event related potentials (ERPs) of 13 non-delinquent and 13 delinquent subjects with ADHD and 13 controls were compared using a modified visual Go/Nogo continuous performance task (VCPT) and a newly developed version of the visual CPT that additionally requires emotional evaluation (ECPT). ERPs were analyzed regarding their topographies and Global Field Power (GFP). Offenders with ADHD differed from non-delinquent subjects with ADHD in the ERPs representing higher-order visual processing of objects and faces (N170) and facial affect (P200), and in late monitoring and evaluative functions (LPC) of behavioural response inhibition. Concerning neural activity thought to reflect the allocation of neural resources and cognitive processing capability (P300 Go), response inhibition (P300 Nogo), and attention/expectancy (CNV), deviances were observable in both ADHD groups and may thus be attributed to ADHD rather than to delinquency. In conclusion, ADHD symptomatology may be a risk factor for delinquency, since some neural information processing deficits found in ADHD seemed to be even more pronounced in offenders with ADHD. However, our results suggest additional risk factors consisting of deviant higher-order visual processing, especially of facial affect, as well as abnormalities in monitoring and evaluative functions of response inhibition.

Respiratory function during anesthesia: effects on gas exchange

Anaesthesia causes a respiratory impairment, whether the patient is breathing spontaneously or is ventilated mechanically. This impairment impedes the matching of alveolar ventilation and perfusion and thus the oxygenation of arterial blood. A triggering factor is loss of muscle tone that causes a fall in the resting lung volume, functional residual capacity. This fall promotes airway closure and gas adsorption, leading eventually to alveolar collapse, that is, atelectasis. The higher the oxygen concentration, the faster will the gas be adsorbed and the aleveoli collapse. Preoxygenation is a major cause of atelectasis and continuing use of high oxygen concentration maintains or increases the lung collapse, that typically is 10% or more of the lung tissue. It can exceed 25% to 40%. Perfusion of the atelectasis causes shunt and cyclic airway closure causes regions with low ventilation/perfusion ratios, that add to impaired oxygenation. Ventilation with positive end-expiratory pressure reduces the atelectasis but oxygenation need not improve, because of shift of blood flow down the lung to any remaining atelectatic tissue. Inflation of the lung to an airway pressure of 40 cmH2O recruits almost all collapsed lung and the lung remains open if ventilation is with moderate oxygen concentration (< 40%) but recollapses within a few minutes if ventilation is with 100% oxygen. Severe obesity increases the lung collapse and obstructive lung disease and one-lung anesthesia increase the mismatch of ventilation and perfusion. CO2 pneumoperitoneum increases atelectasis formation but not shunt, likely explained by enhanced hypoxic pulmonary vasoconstriction by CO2. Atelectasis may persist in the postoperative period and contribute to pneumonia.