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Le courant d'alimentation d'une carte à puce présente des corrélations significatives avec les données traitées par son microcontrôleur. Les techniques de cryptanalyse dites « par analyse en courant » exploitent ces corrélations pour déterminer les clés secrètes des cryptosystèmes embarqués. Cette étude traite de la conception d'un système d'alimentation sur puce destiné à protéger les microcontrôleurs encartables contre les attaques par analyse en courant. Le nouveau système proposé permet de réguler la tension d'alimentation interne du microcontrôleur à partir de la tension d'alimentation externe fournie par le lecteur, tout en décorrélant le courant d'alimentation externe du courant d'alimentation interne. Sa surface et son rendement respectent les contraintes imposées par le support. De plus, son architecture inclut un nouveau générateur d'horloge aléatoire basé, entre autres, sur un attracteur chaotique de type « double-scroll ». Le système a été simulé avec Eldo et les paramètres MM9 d'un procédé CMOS 0.18 µm standard de la société STMicroelectronics; les résultats des simulations témoignent de son efficacité. Par ailleurs, l'oscillateur chaotique a été fabriqué suivant le procédé CMOS 0.35 µm 2P/4M du fondeur AMS; les mesures expérimentales confirment les résultats théoriques.

This thesis examines the utility of mathematical complexity measures for the analysis of stratospheric dynamics. Through theoretical considerations and tests with artificial data sets, e.g., the iteration of the logistic map, suitable parameters are determined for the application of the statistical entropy measures sample entropy (SE) and Rényi entropy (RE) to methane (a long-lived stratospheric tracer) data from simulations of the SOCOL chemistry-climate model. The SE is shown to be useful for quantifying the variability of recurring patterns in a time series and is able to identify tropical patterns similar to those reported by previous studies of the ``tropical pipe'' region. However, the SE is found to be unsuitable for use in polar regions, due to the non-stationarity of the methane data at extra-tropical latitudes. It is concluded that the SE cannot be used to analyse climate complexity on a global scale. The focus is turned to the RE, which is a complexity measure of probability distribution functions (PDFs). Using the second order RE and a normalisation factor, zonal PDFs of ten consecutive days of methane data are created with a Bayesian optimal binning technique. From these, the RE is calculated for every day (moving 10-day window). The results indicate that the RE is a promising tool for identifying stratospheric mixing barriers. In Southern Hemisphere winter and early spring, RE produces patterns similar to those found in other studies of stratospheric mixing. High values of RE are found to be indicative of the strong fluctuations in tracer distributions associated with relatively unmixed air in general, and with gradients in the vicinity of mixing barriers, in particular. Lower values suggest more thoroughly mixed air masses. The analysis is extended to eleven years of model data. Realistic inter-annual variability of some of the RE structures is observed, particularly in the Southern Hemisphere. By calculating a climatological mean of the RE for this period, additional mixing patterns are identified in the Northern Hemisphere. The validity of the RE analysis and its interpretation is underlined by showing that qualitatively similar patterns can be seen when using observational satellite data of a different tracer. Compared to previous techniques, the RE has the advantage that it requires significantly less computational effort, as it can be used to derive dynamical information from model or measurement tracer data without relying on any additional input such as wind fields. The results presented in this thesis strongly suggest that the RE is a useful new metric for analysing stratospheric mixing and its variability from climate model data. Furthermore, it is shown that the RE measure is very robust with respect to data gaps, which makes it ideal for application to observations. Hence, using the RE for comparing observations of tracer distributions with those from model simulations potentially presents a novel approach for analysing mixing in the stratosphere.

Advancing towards `better' wind turbine designs engineers face two central challenges: first, current aerodynamic models (based on Blade Element Momentum theory) are inherently limited to comparatively simple designs of flat rotors with straight blades. However, such designs present only a subset of possible designs. Better concepts could be coning rotors, swept or kinked blades, or blade tip modifications. To be able to extend future turbine optimization to these new concepts a different kind of aerodynamic model is needed. Second, it is difficult to include long term loads (life time extreme and fatigue loads) directly into the wind turbine design optimization. This is because with current methods the assessment of long term loads is computationally very expensive -- often too expensive for optimization. This denies the optimizer the possibility to fully explore the effects of design changes on important life time loads, and one might settle with a sub-optimal design. In this dissertation we present work addressing these two challenges, looking at wing aerodynamics in general and focusing on wind turbine loads in particular. We adopt a Lagrangian vortex model to analyze bird wings. Equipped with distinct tip feathers, these wings present very complex lifting surfaces with winglets, stacked in sweep and dihedral. Very good agreement between experimental and numerical results is found, and thus we confirm that a vortex model is actually capable of analyzing complex new wing and rotor blade geometries. Next stochastic methods are derived to deal with the time and space coupled unsteady aerodynamic equations. In contrast to deterministic models, which repeatedly analyze the loads for different input samples to eventually estimate life time load statistics, the new stochastic models provide a continuous process to assess life time loads in a stochastic context -- starting from a stochastic wind field input through to a stochastic solution for the load output. Hence, these new models allow obtaining life time loads much faster than from the deterministic approach, which will eventually make life time loads accessible to a future stochastic wind turbine optimization algorithm. While common stochastic techniques are concerned with random parameters or boundary conditions (constant in time), a stochastic treatment of turbulent wind inflow requires a technique capable to handle a random field. The step from a random parameter to a random field is not trivial, and hence the new stochastic methods are introduced in three stages. First the bird wing model from above is simplified to a one element wing/ blade model, and the previously deterministic solution is substituted with a stochastic solution for a one-point wind speed time series (a random process). Second, the wind inflow is extended to an $n$-point correlated random wind field and the aerodynamic model is extended accordingly. To complete this step a new kind of wind model is introduced, requiring significantly fewer random variables than previous models. Finally, the stochastic method is applied to wind turbine aerodynamics (for now based on Blade Element Momentum theory) to analyze rotor thrust, torque, and power. Throughout all these steps the stochastic results are compared to result statistics obtained via Monte Carlo analysis from unsteady reference models solved in the conventional deterministic framework. Thus it is verified that the stochastic results actually reproduce the deterministic benchmark. Moreover, a considerable speed-up of the calculations is found (for example by a factor 20 for calculating blade thrust load probability distributions). Results from this research provide a means to much more quickly analyze life time loads and an aerodynamic model to be used a new wind turbine optimization framework, capable of analyzing new geometries, and actually optimizing wind turbine blades with life time loads in mind. However, to limit the scope of this work, we only present the aerodynamic models here and will not proceed to turbine optimization itself, which is left for future work. / Graduate / 0538 / 0548 / mfluck@uvic.ca

The purpose of the present dissertation is to study the elaborations of the initiation myth in contemporary Italian author Alessandro Baricco. The theoretical and methodological framework consists mainly of Mircea Eliade’s phenomenological theory of initiation. It is argued that the categories of space and time are interdepent in religious thought and should thus be studied as a unit, through the notion of the chronotope. The dissertation therefore proposes to introduce the concept of the chronotope of initiation as an operative tool, the intersection of the theories of Eliade and Mikhail Bakhtin, for the literary subgenre of the initiation novel. A hermeneutical analysis of the novels Oceano mare, Emmaus and Mr Gwyn demonstrates that the initiation myth is present in all three novels. The symbolism of death and rebirth is coherently enacted as a movement via the categories cosmos-chaos-cosmos, for which the author uses the symbolism of the earth to define cosmos (regularity and structure) and water symbolism for the regenerating chaos (dissolution and renewal). The different chapters of analysis accentuate the interaction of space and time within the different phases of the initiation pattern: the profane, the threshold, the sacred, the centre (the place where the actual ritual is enacted) and the return, which are all defined as chronotopes. The analysis shows that although the chronotope of initiation – the concept intending the fusion of the temporal event of ritual at the spatial centre – assumes different forms throughout the corpus, its function remains unmodified, with its purpose being the creation of ontological change. In its inherent structure, the chronotope of initiation unites antithetical spatial and temporal characteristics. Spatially it unites infinite and dissolving chaotic space with the constitutive envelope or sacred vertical centre, and temporally it brings together the ultimative ontological change at a fixed, historical moment with the eternal, sacred, time opened by ritual, representing the coincidentia oppositorum of the sacred. The analysis also shows that the so-called “portraits of the ineffable”, present in all three novels, reflect the same qualities. As immanent works of art, they function as thresholds into the infinite. From a chronological perspective, the dissertation shows a modification of the initiation pattern in Baricco’s writing: from the classical form in Oceano mare, via a more realistic application in Emmaus, to the most elaborate, meta-literary adaption in Mr Gwyn. Nevertheless, the use of the pattern and its thematic coherence reveals that Baricco consciously elaborates on the pattern to suit the contemporary context.

Diplomová práce "Jak se žije dospělým dětem alkoholiků" se zabývá problematikou dospělých, kteří mají zkušenost dětství prožitého v rodině s rodičem-alkoholikem. Jedná se o kvalitativní studii, jejímž cílem je dopovědět na následující otázky: Jak vlastně vypadá dětství, dospívání a následně dospělý život lidí, kteří mají za sebou zkušenost dítěte alkoholika? Jak vypadá takové rodinné prostředí? Existují nějaká témata společná těm, kteří vyrůstali v takovém prostředí? Teoretická část obsahuje dosavadní poznatky studií, které se tématem dospělých dětí alkoholiků zabývají. Popisuje charakteristiky jak rodinného prostředí, tak způsoby uvažování a prožívání dospělých dětí alkoholiků. Metodologická část obsahuje definici výzkumného problému, metody získávání vzorku (samovýběr), metodu získávání dat (nestrukturované interview) a způsob jejich zpracování (narativní analýza, metody zachycení vzorců). Analytická část obsahuje samotné zpracování dat pěti respondentů. Jednotlivé příběhy nahlíženy jako určité životní konfigurace. Následně je uvedeno 28 témat, která jsou v různé míře respondentům výzkumu společná.

The existing world is becoming more disrupted and is falling apart. For its resurrection and restoration, a new way of thinking is necessary. This new type of thinking is needed to be able to open up its mind and to think about the process of thinking itself; it must understand what is happening in other systems, where processes seem to be taking place by themselves without any other visible interference. First Chaos is the title for an intermedia installation which contains 90 black and white photographs, both digital and analogue, all of which were taken between the years 2008 and 2012. Together, the photographs create one coherent piece – a kind of sculpture. They can evoke a "still film" with a non-linear, cyclical storyline, whilst the images can simultaneously function individually, without any connection to other photographs.

This dissertation investigates the application of computational intelligence methods in the analysis of nonlinear chaotic systems in the framework of many known and newly designed complex systems. Parallel comparisons are made between these methods. This provides insight into the difficult challenges facing nonlinear systems characterization and aids in developing a generalized algorithm in computing algorithmic complexity measures, Lyapunov exponents, information dimension and topological entropy. These metrics are implemented to characterize the dynamic patterns of discrete and continuous systems. These metrics make it possible to distinguish order from disorder in these systems. Steps required for computing Lyapunov exponents with a reorthonormalization method and a group theory approach are formalized. Procedures for implementing computational algorithms are designed and numerical results for each system are presented. The advance-time sampling technique is designed to overcome the scarcity of phase space samples and the buffer overflow problem in algorithmic complexity measure estimation in slow dynamics feedback-controlled systems. It is proved analytically and tested numerically that for a quasiperiodic system like a Fibonacci map, complexity grows logarithmically with the evolutionary length of the data block. It is concluded that a normalized algorithmic complexity measure can be used as a system classifier. This quantity turns out to be one for random sequences and a non-zero value less than one for chaotic sequences. For periodic and quasi-periodic responses, as data strings grow their normalized complexity approaches zero, while a faster deceasing rate is observed for periodic responses. Algorithmic complexity analysis is performed on a class of certain rate convolutional encoders. The degree of diffusion in random-like patterns is measured. Simulation evidence indicates that algorithmic complexity associated with a particular class of 1/n-rate code increases with the increase of the encoder constraint length. This occurs in parallel with the increase of error correcting capacity of the decoder. Comparing groups of rate-1/n convolutional encoders, it is observed that as the encoder rate decreases from 1/2 to 1/7, the encoded data sequence manifests smaller algorithmic complexity with a larger free distance value.

Ce sujet de thèse s'intéresse à l'étude des effets des charges aérodynamiques sur le comportement dynamique non linéaire d'une éolienne à axe vertical de type Darrieus. Cette dernière présente, comparativement aux autres éoliennes, des profits très importants à exploiter, notamment dans les milieux urbains. Il s'agit d'une technologie fiable caractérisée surtout par son fonctionnement omnidirectionnel ainsi que son adaptation à tout type de vent. Généralement, ces éoliennes, ayant des phénomènes aérodynamiques complexes, sont affectées par des vibrations au niveau de leur système de transmission de puissance. En fait, ces vibrations commencent à se manifester à partir des pales du rotor jusqu'au génératrice. L'écoulement autour de ses pales présente également un fort caractère instationnaire. Cette caractéristique augmente d'avantage les vibrations aérodynamiques, qui sont automatiquement transmise au système d'engrenage d'éolienne. À ce niveau, nous avons développé un code de calcul numérique permettant de simuler la complexité des aspects aérodynamiques instationnaires tout en gardant un compromis entre la fiabilité des prédictions et la rapidité de calcul. Les simulations sont réalisées suivant une méthode de mécanique des fluides numérique (CFD) instationnaire bidimensionnel. Les résultats de simulation comparés avec ceux disponibles dans la littérature sont en bonne concordance, le rendement aérodynamique étant optimisé, qui présente un apport scientifique notable. Cette étude numérique a été l'objectif de l'analyse de l'impact des charges aérodynamiques vis-à-vis le comportement dynamique du système d'engrenage de l'éolienne en régime non-stationnaire. Dans ce contexte, une étude paramétrique a été développée afin d'établir le fonctionnement optimal de l'éolienne, caractérisé par un couple aérodynamique plus performant associé à des niveaux de vibrations dynamiques acceptables. En général, il est difficile d'identifier précisément la réponse dynamique des éoliennes à cause du caractère turbulent et stochastique des charges aérodynamiques. Par conséquent, il est indispensable de tenir en compte la variabilité des paramètres d'entrée pour assurer la robustesse du système étudié. Adoptons l'objectif de dimensionnement robuste. Une méthode d'évaluation basée sur des approches stochastiques, particulièrement la méthode du Chaos Polynomial, est utilisée pour simuler le comportement dynamique non-linéaire du système d'engrenage d'éolienne, en tenant compte des incertitudes. Ces dernières sont au niveau des charges aérodynamiques, inhérentes au calcul des niveaux vibratoires du système d'engrenage. Ce qui implique un apport scientifique important. Les résultats obtenus par l'approximation par Chaos Polynomial démontrent une forte dispersion des charges aérodynamiques aléatoires dans la réponse dynamique du système d'engrenage, contrairement aux études déterministes. Ce qui prouve l'insuffisance de telles études pour une analyse de robustesse. Les résultats mettent également en évidence la forte corrélation entre les phénomènes aérodynamiques complexes et les vibrations dynamiques. Le couplage établi constitue l'originalité de notre travail. / This thesis focuses on the study of the aerodynamic loads effects on the nonlinear dynamic behavior of Darrieus--type vertical axis wind turbine. The latter has received more attention due to its efficiency in urban regions compared to other wind turbines. In fact, the wind flow speed in urban regions continuously changes direction and is extremely turbulent. The inherent characteristics of its omni-directionality make it more suitable to harnessing this kind of flow. It is known that Darrieus wind turbine is characterized by an inherently unsteady aerodynamic behavior and a complex flow around rotor blades. The non-stationary behavior of the mentioned turbine increases vibration. These aerodynamic vibrations are transmitted to the gearing mechanism. We have, firstly, developed a numerical simulation, allowing to simulate the complexity of the unsteady aerodynamic phenomena keeping a compromise between the reliability of prediction and the rapidity of calculation. This numerical simulation has been carried out using a two-dimensional unsteady Computational Fluid Dynamics (CFD) method. Simulation results compared to those available in the literature are in good agreement. The Darrieus turbine efficiency is also optimized; thus introducing a significant scientific contribution. The latter is the objective of analyzing the aerodynamic load impact in the dynamic behavior of the Darrieus turbine in non-stationary regime. In this context, a parametric study has been developed in order to find optimal functioning of the studied turbine, which is characterized by the most performing aerodynamic torque associated with acceptable levels of dynamic vibration. In general, it is difficult to predict the dynamic response of the wind turbine with a good level of accuracy due to the aerodynamic loads turbulence and uncertain characteristics. It becomes necessary to take into account the uncertainty in the input parameters to ensure the robustness of the Darrieus turbine geared system. In a robustness study objective, the Polynomial Chaos method is adopted to predict the nonlinear dynamic behavior of the gearing system taking into account uncertainties which are associated to the performance coefficient of the input aerodynamic torque. This leads to an important scientific research contribution. The results have shown a large dispersion of the random parameter in the dynamic response of the gearing system compared to the deterministic study. That proves the insufficiency of that study for a robustness analyses. They have also proved that the Polynomial Chaos method is an efficient probabilistic tool for uncertainty propagation. Finally, the new proposed robust mechanical analysis indicates a good capacity to investigate the dynamic behavior of the Darrieus turbine thanks to its superior predictive capabilities in coupling complex aerodynamic phenomena with a mechanical gearing system vibration. Where the originality of such correlation in our work.

Este trabalho teve por objetivo construir e avaliar ferramentas de quantificação e análise da variabilidade da freqüência cardíaca segundo o paradigma não extensivo de Tsallis na modelagem do sistema de regulação da freqüência cardíaca, e na discriminação de situação de normalidade e cardiopatias e apoio ao diagnóstico de cardiopatias. O sistema de regulação da freqüência cardíaca é reconhecidamente não linear. Este estudo explora esta característica, quantificando a complexidade através de uma família de entropias condicionais não extensivas e outras medidas de avaliação usualmente utilizadas na análise da variabilidade cardíaca. Foram utilizados dados reais de 15 indivíduos saudáveis, 23 indivíduos chagásicos e 19 indivíduos hipertensos, além de dados simulados computacionalmente para uma avaliação controlada das ferramentas estatísticas estudadas. Durante a avaliação foram gerados dados substitutos (surrogate data) para os testes de validade e intensidade da hipótese de não linearidade das séries. Os resultados mostraram que o parâmetro q introduz uma forma diferente de quantificação da complexidade do sinal. Com o auxílio dos dados substitutos, foi possível identificar, para alguns sinais, a região de valores de q onde o comportamento não linear é mais evidente. Os resultados obtidos indicam que a abordagem merece estudos mais aprofundados. / This study aimed to construct and evaluate tools for quantification and analysis of heart rate variability under Tsallis non-extensive statistical paradigm to model heart rate regulation system, and discrimination in situations of healthy conditions and support diagnosis of heart diseases. The heart rate regulation system is known to be nonlinear. This study explores this feature by quantifying the signal complexity through a family of non extensive conditional entropy and other evaluation measures commonly used in the analysis of heart rate variability. We used real data from 15 healthy subjects, 23 individuals with Chagas disease and 19 hypertensive individuals, in addition to simulated data to make a computationally controlled evaluation of the statistical tools studied. During the evaluation were generated surrogate data for tests of validity and strength of the time series non-linearity hypothesis. The results have shown that the q parameter introduces a different way of quantifying the complexity of the signal. With the support of surrogate data, it was possible to identify a range of q values that nonlinear behavior is more evident for some signals. The results indicate that the approach deserves further study.