Development of oil spill detection techniques for satellite optical sensors and their application to monitor oil spill discharge in Mediterranean sea

Satellite remote sensing has proved to be an effective support in timely detection and monitoring of marine oil pollution, mainly due to illegal ship discharges. In this context, we have developed a new methodology and technique for optical oil spill detection, which make use of MODIS L2 and MERIS L1B satellite top of atmosphere (TOA) reflectance imagery, for the first time in a highly automated way. The main idea was combining wide swaths and short revisit times of optical sensors with SAR observations, generally used in oil spill monitoring. This arises from the necessity to overcome the SAR reduced coverage and long revisit time of the monitoring area. This can be done now, given the MODIS and MERIS higher spatial resolution with respect to older sensors (250-300 m vs. 1 km), which consents the identification of smaller spills deriving from illicit discharge at sea. The procedure to obtain identifiable spills in optical reflectance images involves removal of oceanic and atmospheric natural variability, in order to enhance oil-water contrast; image clustering, which purpose is to segment the oil spill eventually presents in the image; finally, the application of a set of criteria for the elimination of those features which look like spills (look-alikes). The final result is a classification of oil spill candidate regions by means of a score based on the above criteria.

A hybrid technology for parallel recording of single ion channels

Hybrid technologies, thanks to the convergence of integrated microelectronic devices and new class of microfluidic structures could open new perspectives to the way how nanoscale events are discovered, monitored and controlled. The key point of this thesis is to evaluate the impact of such an approach into applications of ion-channel High Throughput Screening (HTS)platforms. This approach offers promising opportunities for the development of new classes of sensitive, reliable and cheap sensors. There are numerous advantages of embedding microelectronic readout structures strictly coupled to sensing elements. On the one hand the signal-to-noise-ratio is increased as a result of scaling. On the other, the readout miniaturization allows organization of sensors into arrays, increasing the capability of the platform in terms of number of acquired data, as required in the HTS approach, to improve sensing accuracy and reliabiity. However, accurate interface design is required to establish efficient communication between ionic-based and electronic-based signals. The work made in this thesis will show a first example of a complete parallel readout system with single ion channel resolution, using a compact and scalable hybrid architecture suitable to be interfaced to large array of sensors, ensuring simultaneous signal recording and smart control of the signal-to-noise ratio and bandwidth trade off. More specifically, an array of microfluidic polymer structures, hosting artificial lipid bilayers blocks where single ion channel pores are embededed, is coupled with an array of ultra-low noise current amplifiers for signal amplification and data processing. As demonstrating working example, the platform was used to acquire ultra small currents derived by single non-covalent molecular binding between alpha-hemolysin pores and beta-cyclodextrin molecules in artificial lipid membranes.

Power consumption analysis for self-diagnosis of Wireless Sensor Nodes

Wireless sensor networks can transform our buildings in smart environments, improving comfort, energy efficiency and safety. Today however, wireless sensor networks are not considered reliable enough for being deployed on large scale. In this thesis, we study the main failure causes for wireless sensor networks, the existing solutions to improve reliability and investigate the possibility to implement self-diagnosis through power consumption measurements on the sensor nodes. Especially, we focus our interest on faults that generate in-range errors: those are wrong readings but belong to the range of the sensor and can therefore be missed by external observers. Using a wireless sensor network deployed in the R\&D building of NXP at the High Tech Campus of Eindhoven, we performed a power consumption characterization of the Wireless Autonomous Sensor (WAS), and studied through some experiments the effect that faults have in the power consumption of the sensor.

Struktur- und Funktionsuntersuchungen des C 4-Dicarboxylat-Sensors DcuS von Escherichia coli

Das Zweikomponentensystem DcuSR reguliert die Expression der Gene der anaeroben Fumaratatmung in E. coli in Abhängigkeit von externen C4-Dicarbonsäuren. Die membranständige Histidinkinase DcuS detektiert den Reiz und leitet ihn über die Membran an den Responseregulaor DcuR weiter, der die Aktivität der Zielgene reguliert. Das Substratspektrum von DcuS wurde näher untersucht und strukturelle Eigenschaften der Substrate sowie ihre Affinität zu DcuS bestimmt. Es wird vermutet, dass Histidinkinasen im aktiven Zustand als Dimere oder höhere Oligomere vorliegen. Der Oligomerisierungszustand von DcuS in der Membran wurde mittels EPR-Spektroskopie untersucht. Es wurden funktionelle Cysteinmutanten von DcuS hergestellt, die nur an bestimmten Positionen der periplasmatischen Domäne Cysteinreste, aber sonst keine weiteren Cysteinreste, enthielten. Die Proteine wurden isoliert, über die Cysteinreste mit Nitroxiden markiert und in Liposomen rekonstituiert. Erste EPR-Messungen zeigten, dass rekonstituiertes DcuS in einem geordneten Zustand in der Membran vorliegt, der diskrete Abstände zwischen den Monomeren aufweist. Die Struktur von rekonstituiertem DcuS in der Membran soll durch Festkörper-NMR aufgeklärt werden. Ein geeignetes C-terminal verkürztes Konstrukt, DcuS-PD/PAS wurde zu diesem Zweck hergestellt. Das Protein ließ sich in hoher Reinheit isolieren und konnte wieder in Liposomen rekonstituiert werden. Vorbereitende NMR-Messungen zeigten, dass eine Strukturaufklärung an diesem Protein möglich ist. Weitere Strukturuntersuchungen werden zur Zeit durchgeführt.

Laser guide stars wavefront sensors for the EELT

The Adaptive Optics is the measurement and correction in real time of the wavefront aberration of the star light caused by the atmospheric turbulence, that limits the angular resolution of ground based telescopes and thus their capabilities to deep explore faint and crowded astronomical objects. The lack of natural stars enough bright to be used as reference sources for the Adaptive Optics, over a relevant fraction of the sky, led to the introduction of artificial reference stars. The so-called Laser Guide Stars are produced by exciting the Sodium atoms in a layer laying at 90km of altitude, by a powerful laser beam projected toward the sky. The possibility to turn on a reference star close to the scientific targets of interest has the drawback in an increased difficulty in the wavefront measuring, mainly due to the time instability of the Sodium layer density. These issues are increased with the telescope diameter. In view of the construction of the 42m diameter European Extremely Large Telescope a detailed investigation of the achievable performances of Adaptive Optics becomes mandatory to exploit its unique angular resolution . The goal of this Thesis was to present a complete description of a laboratory Prototype development simulating a Shack-Hartmann wavefront sensor using Laser Guide Stars as references, in the expected conditions for a 42m telescope. From the conceptual design, through the opto-mechanical design, to the Assembly, Integration and Test, all the phases of the Prototype construction are explained. The tests carried out shown the reliability of the images produced by the Prototype that agreed with the numerical simulations. For this reason some possible upgrades regarding the opto-mechanical design are presented, to extend the system functionalities and let the Prototype become a more complete test bench to simulate the performances and drive the future Adaptive Optics modules design.

Physical models for numerical simulation of Si-based nanoscale FETs and sensors

To continuously improve the performance of metal-oxide-semiconductor field-effect-transistors (MOSFETs), innovative device architectures, gate stack engineering and mobility enhancement techniques are under investigation. In this framework, new physics-based models for Technology Computer-Aided-Design (TCAD) simulation tools are needed to accurately predict the performance of upcoming nanoscale devices and to provide guidelines for their optimization. In this thesis, advanced physically-based mobility models for ultrathin body (UTB) devices with either planar or vertical architectures such as single-gate silicon-on-insulator (SOI) field-effect transistors (FETs), double-gate FETs, FinFETs and silicon nanowire FETs, integrating strain technology and high-κ gate stacks are presented. The effective mobility of the two-dimensional electron/hole gas in a UTB FETs channel is calculated taking into account its tensorial nature and the quantization effects. All the scattering events relevant for thin silicon films and for high-κ dielectrics and metal gates have been addressed and modeled for UTB FETs on differently oriented substrates. The effects of mechanical stress on (100) and (110) silicon band structures have been modeled for a generic stress configuration. Performance will also derive from heterogeneity, coming from the increasing diversity of functions integrated on complementary metal-oxide-semiconductor (CMOS) platforms. For example, new architectural concepts are of interest not only to extend the FET scaling process, but also to develop innovative sensor applications. Benefiting from properties like large surface-to-volume ratio and extreme sensitivity to surface modifications, silicon-nanowire-based sensors are gaining special attention in research. In this thesis, a comprehensive analysis of the physical effects playing a role in the detection of gas molecules is carried out by TCAD simulations combined with interface characterization techniques. The complex interaction of charge transport in silicon nanowires of different dimensions with interface trap states and remote charges is addressed to correctly reproduce experimental results of recently fabricated gas nanosensors.

Tetrafenilciclopentadienon-derivati ed analoghi: sintesi, "self-assembly" e caratterizzazione reologica

Gels are materials that are easier to recognize than to define. For all practical purpose, a material is termed a gel if the whole volume of liquid is completely immobilized as usually tested by the ‘tube inversion’ method. Recently, supramolecular gels obtained from low molecular weight gelators (LMWGs) have attracted considerable attention in materials science since they represent a new class of smart materials sensitive to external stimuli, such as temperature, ultrasounds, light, chemical species and so on. Accordingly, during the past years a large variety of potentialities and applications of these soft materials in optoelectronics, as electronic devices, light harvesting systems and sensors, in bio-materials and in drug delivery have been reported. Spontaneous self-assembly of low molecular weight molecules is a powerful tool that allows complex supramolecular nanoscale structures to be built. The weak and non-covalent interactions such as hydrogen bonding, π–π stacking, coordination, electrostatic and van der Waals interactions are usually considered as the most important features for promoting sol-gel equilibria. However, the occurrence of gelation processes is ruled by further “external” factors, among which the temperature and the nature of the solvents that are employed are of crucial importance. For example, some gelators prefer aromatic or halogenated solvents and in some cases both the gelation temperature and the type of the solvent affect the morphologies of the final aggregation. Functionalized cyclopentadienones are fascinating systems largely employed as building blocks for the synthesis of polyphenylene derivatives. In addition, it is worth noting that structures containing π-extended conjugated chromophores with enhanced absorption properties are of current interest in the field of materials science since they can be used as “organic metals”, as semiconductors, and as emissive or absorbing layers for OLEDs or photovoltaics. The possibility to decorate the framework of such structures prompted us to study the synthesis of new hydroxy propargyl arylcyclopentadienone derivatives. Considering the ability of such systems to give π–π stacking interactions, the introduction on a polyaromatic structure of polar substituents able to generate hydrogen bonding could open the possibility to form gels, although any gelation properties has been never observed for these extensively studied systems. we have synthesized a new class of 3,4-bis (4-(3-hydroxy- propynyl) phenyl) -2, 5-diphenylcyclopentadienone derivatives, one of which (1a) proved to be, for the first time, a powerful organogelator. The experimental results indicated that the hydroxydimethylalkynyl substituents are fundamental to guarantee the gelation properties of the tetraarylcyclopentadienone unit. Combining the results of FT-IR, 1H NMR, UV-vis and fluorescence emission spectra, we believe that H-bonding and π–π interactions are the driving forces played for the gel formation. The importance of soft materials lies on their ability to respond to external stimuli, that can be also of chemical nature. In particular, high attention has been recently devoted to anion responsive properties of gels. Therefore the behaviour of organogels of 1a in toluene, ACN and MeNO2 towards the addition of 1 equivalent of various tetrabutylammonium salts were investigated. The rheological properties of gels in toluene, ACN and MeNO2 with and without the addition of Bu4N+X- salts were measured. In addition a qualitative analysis on cation recognition was performed. Finally the nature of the cyclic core of the gelator was changed in order to verify how the carbonyl group was essential to gel solvents. Until now, 4,5-diarylimidazoles have been synthesized.

Semantic Service Architectures for Smart Environments

Many industries and academic institutions share the vision that an appropriate use of information originated from the environment may add value to services in multiple domains and may help humans in dealing with the growing information overload which often seems to jeopardize our life. It is also clear that information sharing and mutual understanding between software agents may impact complex processes where many actors (humans and machines) are involved, leading to relevant socioeconomic benefits. Starting from these two input, architectural and technological solutions to enable “environment-related cooperative digital services” are here explored. The proposed analysis starts from the consideration that our environment is physical space and here diversity is a major value. On the other side diversity is detrimental to common technological solutions, and it is an obstacle to mutual understanding. An appropriate environment abstraction and a shared information model are needed to provide the required levels of interoperability in our heterogeneous habitat. This thesis reviews several approaches to support environment related applications and intends to demonstrate that smart-space-based, ontology-driven, information-sharing platforms may become a flexible and powerful solution to support interoperable services in virtually any domain and even in cross-domain scenarios. It also shows that semantic technologies can be fruitfully applied not only to represent application domain knowledge. For example semantic modeling of Human-Computer Interaction may support interaction interoperability and transformation of interaction primitives into actions, and the thesis shows how smart-space-based platforms driven by an interaction ontology may enable natural ad flexible ways of accessing resources and services, e.g, with gestures. An ontology for computational flow execution has also been built to represent abstract computation, with the goal of exploring new ways of scheduling computation flows with smart-space-based semantic platforms.

From fall-risk assessment to fall detection: inertial sensors in the clinical routine and daily life

Falls are caused by complex interaction between multiple risk factors which may be modified by age, disease and environment. A variety of methods and tools for fall risk assessment have been proposed, but none of which is universally accepted. Existing tools are generally not capable of providing a quantitative predictive assessment of fall risk. The need for objective, cost-effective and clinically applicable methods would enable quantitative assessment of fall risk on a subject-specific basis. Tracking objectively falls risk could provide timely feedback about the effectiveness of administered interventions enabling intervention strategies to be modified or changed if found to be ineffective. Moreover, some of the fundamental factors leading to falls and what actually happens during a fall remain unclear. Objectively documented and measured falls are needed to improve knowledge of fall in order to develop more effective prevention strategies and prolong independent living. In the last decade, several research groups have developed sensor-based automatic or semi-automatic fall risk assessment tools using wearable inertial sensors. This approach may also serve to detect falls. At the moment, i) several fall-risk assessment studies based on inertial sensors, even if promising, lack of a biomechanical model-based approach which could provide accurate and more detailed measurements of interests (e.g., joint moments, forces) and ii) the number of published real-world fall data of older people in a real-world environment is minimal since most authors have used simulations with healthy volunteers as a surrogate for real-world falls. With these limitations in mind, this thesis aims i) to suggest a novel method for the kinematics and dynamics evaluation of functional motor tasks, often used in clinics for the fall-risk evaluation, through a body sensor network and a biomechanical approach and ii) to define the guidelines for a fall detection algorithm based on a real-world fall database availability.

Assessment of Daily Life Mobility Levels using Wearable Inertial Sensors and Minimun Measured Input Models

Tracking activities during daily life and assessing movement parameters is essential for complementing the information gathered in confined environments such as clinical and physical activity laboratories for the assessment of mobility. Inertial measurement units (IMUs) are used as to monitor the motion of human movement for prolonged periods of time and without space limitations. The focus in this study was to provide a robust, low-cost and an unobtrusive solution for evaluating human motion using a single IMU. First part of the study focused on monitoring and classification of the daily life activities. A simple method that analyses the variations in signal was developed to distinguish two types of activity intervals: active and inactive. Neural classifier was used to classify active intervals; the angle with respect to gravity was used to classify inactive intervals. Second part of the study focused on extraction of gait parameters using a single inertial measurement unit (IMU) attached to the pelvis. Two complementary methods were proposed for gait parameters estimation. First method was a wavelet based method developed for the estimation of gait events. Second method was developed for estimating step and stride length during level walking using the estimations of the previous method. A special integration algorithm was extended to operate on each gait cycle using a specially designed Kalman filter. The developed methods were also applied on various scenarios. Activity monitoring method was used in a PRIN’07 project to assess the mobility levels of individuals living in a urban area. The same method was applied on volleyball players to analyze the fitness levels of them by monitoring their daily life activities. The methods proposed in these studies provided a simple, unobtrusive and low-cost solution for monitoring and assessing activities outside of controlled environments.

Smart cities, analysis of a strategic plan.

Abstract (English) Cities nowadays face complex challenges to meet objectives regarding socio-economic development and quality of life. The concept of "smart city" is a response to these challenges. Although common practices are being developed all over the world, different priorities are defined and different architectures are followed. In this master thesis I focuses on the applied architecture of Riverside's case study, through a progression model that underline the main steps that moves the city from a situation of crisis, to be appointed "Intelligent Community" of the 2012 by Intelligent Community Forum. I discuss the problem of integration among the physical, institutional and digital dimension of smart cities and the "bridges" that connect these three spatialities. Riverside's progression model takes as a reference a comprehensive framework made unifying the keys component of the three most quoted framework in this field: a technology-oriented vision (strongly promoted by IBM [Dirks et al. 2009]), an approach-oriented one [Schaffers et al. 2011] that is sponsored by many initiatives within the European Commission, and a purely service-oriented one [Giffinger et al. 2007][Toppeta, 2010].

Biochemische Charakterisierung des O 2-Sensors NreB aus Staphylococcus carnosus

Staphylococcus carnosus wird in der Lebensmittelindustrie als Starterkultur in der Rohwurstfermentation eingesetzt. Das Gram-positive Bakterium ist fakultativ anaerob und kann unter anaeroben Bedingungen Nitrat und Nitrit zu Ammonium reduzieren. Die Expression der Gene der Nitrat-, Nitritreduktase und des potentiellen Nitrattrans-porters, wird vom NreBC Zwei-Komponentensystem reguliert. NreB ist eine cy-toplasmatische Sensor-Histidinkinase, die Ähnlichkeiten zu HämB-bindenden PAS-Domänen aufweist. NreB reagiert auf Sauerstoff und kontrolliert zusammen mit dem Response-Regulator NreC die Expression der Gene der Nitrat/Nitrit-Atmung. Die Gene nreBC wurden in Staphylococcus Arten, Bacillus clausii und anderen Bacil-lus Arten gefunden. Anaerob präpariertes NreB von S. carnosus enthält ein diamag-netisches [4Fe-4S]2+-Zentrum, das durch Mössbauer-Spektroskopie identifiziert wur-de. Nach Luftexposition wurde das [4Fe-4S]2+-Zentrum mit einer Halbwertszeit von 2,5 Minuten zu nicht an das Protein gebundenem γ-FeOOH oxidiert. Mit EPR- und Mössbauer-Spektroskopie konnten keine signifikanten Mengen von Zwischenstufen detektiert werden. Photoreduktion mit Deazaflavin lieferte kleine Mengen von [4Fe-4S]1+, die aber nicht stabil waren und sofort wieder zerfielen. Das magnetische Mössbauer-Spektrum des [4Fe-4S]2+-Zentrums wies eine hohe Symmetrie auf, wor-aus man auf eine vollständige Delokalisation der Elektronen und dieselben Liganden für alle Eisenionen schließen kann. In Übereinstimmung mit ihrer Rolle als Liganden des FeS-Zentrums inaktivierte der Austausch der einzelnen Cysteinreste (Cys59, Cys62, Cys74, Cys77) gegen Alanin oder Serin die Funktion von NreB in vivo. Die [4Fe-4S]2+-enthaltende Form von NreB besaß eine hohe Kinaseaktivität. Luftexposition erniedrigte den Gehalt an [4Fe-4S]2+-Zentrum und die Kinaseaktivität mit ähnlichen Halbwertszeiten von 2,5 min. Die Sensor-Domäne von NreB ist eine neuartige PAS-Domäne, die einen FeS-haltigen Co-Faktor (in diesem Fall ein [4Fe-4S]2+-Zentrum) zur Reizperzeption be-sitzt. Das O2-sensitive [4Fe-4S]2+-Zentrum von NreB ist dem [4Fe-4S]2+-Zentrum des DNA-bindenden FNR Proteins aus Escherichia coli ähnlich und kommt möglicherwei-se in anderen O2-wahrnehmenden bakteriellen Proteinen vor. Daraus kann man schließen, dass der Mechanismus der Sauerstoffwahrnehmung über O2-sensitive [4Fe-4S]2+-Zentren in der Evolution mehrfach und unabhängig voneinander in ver-schiedenen bakteriellen O2-Sensoren entstanden ist.