Marsh vegetation is widely considered to offer protection against coastal storm damage, and vegetated flow has thus become a key area of hydrodynamic research. This study investigates the utility of simulated Spartina alterniora marsh vegetation as storm protection using an ADV measurement technique, and is the first to apply jet self-similarity analysis to characterize the overall mean and turbulent flow properties of a three-dimensional axisymmetric jet through a vegetated array. The mean axial flow of a horizontal axisymmetric turbulent jet is obstructed by three configurations of staggered arrays of vertical rigid plant stems. The entire experiment is repeated over five sufficiently high jet Reynolds number conditions to ensure normalization and subsequent collapse of data by nozzle velocity so that experimental error is obtained. All self-similarity parameters for the unobstructed free jet correspond to typical published values: the axial decay coefficient B is 5:8 +/- 0:2, the Gaussian spreading coefficient c is 85 +/- 5, and the halfwidth spreading rate eta_(1/2) is 0:093 +/- 0:003. Upon the introduction of vegetation, from partially obstructed to fully obstructed, B falls from 5:1+/- 0:2 to 4:2 +/- 0:2 and finally 3:7 +/-0:1 for the fully obstructed case, indicating that vegetation reduces axial jet velocity. Cross-sectionally averaged momentum for the unobstructed free jet is M=M0 = 1:05 +/- 0:07, confirming conservation of momentum. Failure of conservation of momentum is most pronounced in the fully obstructed scenario – M=M0 = 0:54 +/- 0:05. The introduction of vegetation increases spreading of the impinging jet. The entrainment coefficient alpha for the free jet case is 0.0575; in the fully obstructed case, alpha = 0:0631. Mean advection of mean and turbulent kinetic energy demonstrates an expected reduction in turbulence intensity within the vegetated array. In general, turbulent production decreases as axial depth of vegetation increases, though retains the bimodal profile of the free jet case; the fully vegetated case, however, exhibits clear peaks behind plant stems. Turbulent transport was shown to be unaffected by vegetation and appears to be primarily a function of axial distance from the jet nozzle. An analysis of rate of dissipation revealed that not only does the cumulative effect of upstream wakes overall depress the magnitude of spectral energy density across all wavenumbers but also that plant stems dissipate large anisotropic eddies in centerline streamwise jet flow. This study, thus, indicates that sparse emergent vegetation both reduces axial flow velocity and has a dissipative effect on jet flow. Typically, however, storm surge does not exhibit the lateral spreading demonstrated by an axisymmetric jet; therefore, the results of this study cannot conclusively support the claim that coastal vegetation reduces storm surge axial velocity.

Ce travail porte sur l'estimation des indices d'autosimilarité et de stabilité d'un processus ou champ stable fractionnaire et autosimilaire ou d'un processus stable multifractionnaire.Plus précisément, soit X un processus ou un champ stable H-autosimilaire à accroissements stationnaires (H-sssi) ou un processus stable multifractionnaire. Nous observons X aux points k/n, k=0,..., n.Nos estimations sont basées sur des variations de puissances négatives beta avec -1/2<beta<0: en effet, ces variations ont une espérance et une variance.Nous obtenons des estimateurs consistants, avec les vitesses de convergence, pour plusieurs processus H-sssi alpha-stables classiques (mouvement brownien fractionnaire, mouvement stable fractionnaire linéaire, processus de Takenaka, movement de Lévy).De plus, nous obtenons la normalité asymptotique de nos estimations pour le mouvement brownien fractionnaire et le mouvement de Lévy.Ce nouveau cadre nous permet de donner une estimation pour le paramètre d'autosimilarité H sans hypothèse sur alpha et, vice versa, nous pouvons estimer l'indice stable alpha sans hypothèse sur H.En généralisant, pour le cas d'une dimension supérieure à 1, nous obtenons également des estimateurs consistants pour H et alpha. Les résutats sont illustrés par des exemples: champ de Lévy fractionnaire, champ stable fractionnaire linéaire, champ de Takenaka.Pour les processus stables multifractionnaires, nous nous concentrons sur le mouvement brownien multifractionnaire et le processus stable multifractionnaire linéaire. Dans ces deux cas, nous obtenons la consistance des estimateurs pour la fonction d'autosimilarité à un temps donné u et pour l'indice stable alpha. / This work is concerned with the estimation of the self-similarity and the stability indices of a H-self-similarity stable process (field) or a multifractional stable process.More precisely, let X be a H-sssi (self-similar stationary increments) symmetric alpha-stable process (field) or a multifractional stable process. We observe X at points k/n, k=0,...,n.Our estimates are based on beta-negative power variations with -1/2<beta<0, thanks to the existence of expectations and covariances of these variations.We get consistent estimators, with rates of convergence, for several classical H-sssi alpha-stable processes(fractional Brownian motion, well-balanced linear fractional stable motion, Takenaka's processes, Lévy motion). Moreover, we get asymptotic normality of our estimates for fractional Brownian motion and Lévy motion.This new framework allows us to give an estimator for the self-similarity parameter H without assumptions on alpha and, vice versa, we can estimate the stable index alpha without assumptions on H.Generalizing for the case of high dimensions, we also obtain consistent estimators for H and alpha. The results are illustrated with some familiar examples: Lévy fractional Brownian field, well-balanced linear fractional stable field and Takenaka random field.For multifractional stable process, we concentrate on multifractional Brownian motion and linear multifractional stable process. In these two cases, we get the consistency of the estimators for the value of self-similarity function H at a fixed time u and for the stability index alpha.

Cette thèse est consacrée à l’étude statistique des systèmes complexes à travers l’analyse de signaux expérimentaux, de signaux synthétiques et de signaux générés à partir de modèles théoriques. On a choisi la turbulence comme paradigme d’ ́etude en raison de ses propriétés: dynamique non linéaire, comportement multi-échelle, cascade d’énergie, intermittence ... Afin de faire une caractérisation statistique d’un système complexe on s’intéresse à l’étude de la distribution (fonction de densité de probabilité), des corrélations et dépendances, et des relations de causalité de Wiener, des signaux qui décrivent le système. La théorie de l’information apparaît comme un cadre idéal pour developer ce type d’analyse. Dans le cadre de la théorie de l’information on a développé deux méthodologies, différentes mais reliées, pour analyser les propriétés d’auto similarité d’un système complexe, et plus précisément de la turbulence. La première méthodologie est basée sur l’analyse des incréments du processus étudié, avec l’entropie de Shannon et la divergence de Kullback-Leibler. La deuxième méthode, qui permet d’analyser des processus non stationnaires, est basée sur l’analyse du processus avec le taux d’entropie de Shannon. On a étudié la relation entre les deux méthodologies, lesquelles caractérisent la distribution d’information du système et la déformation de la distribution des incréments, à travers les échelles. / Most of the time when studying a system, scientists face processes whose properties are a priori unknown. Characterising these processes is a major task to describe the studied system. During this thesis, which combines signal processing and physics, we were mainly motivated by the study of complex systems and turbulence, and consequently, we were interested in the study of regularity and self-similarity properties, long range dependence structures and multi-scale behavior. In order to perform this kind of study, we use information theory quantities, which are functions of the probability density function of the analysed process, and so depend on any order statistics of its PDF. We developed different, but related, data analysis methodologies, based on information theory, to analyse a process across scales τ. These scales are usually identified with the sampling parameter of Takens embedding procedure, but also with the size of the increments of the process. The methodologies developed during this thesis, can be used to characterize stationnary and non-stationnary processes by analysing time windows of length T of the studied signal.

Orientador: Lucas Catão de Freitas Ferreira / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica / Made available in DSpace on 2018-08-24T12:47:02Z (GMT). No. of bitstreams: 1 Lima_LidianedosSantosMonteiro_D.pdf: 2071234 bytes, checksum: 6370d2ea978f96792562cdc2e2406365 (MD5) Previous issue date: 2014 / Resumo: Nesta tese consideramos uma família de EDPs dissipativas do tipo escalar ativo cujos campos velocidades são acoplados aos escalares através de operadores multiplicadores de Fourier que podem ser de alta ordem. Na primeira parte, provamos boa-colocação global, decaimento de normas Lp, e algumas propriedades de simetria, para dados iniciais no espaço de Lebesgue crítico e sem assumir condição de pequenez. Na segunda parte, introduzimos os espaços de Fourier-Besov-Morrey, o qual parece ser novo na analise de EDPs, com o objetivo de encontrar soluções auto-similares e considerar uma classe maior de acoplamentos e dados iniciais. Condições de pequenez na norma do espaço são assumidas para estes resultados. Além disso, mostramos um resultado de estabilidade assintótica e obtemos uma classe de soluções assintoticamente auto-similares / Abstract: In this thesis we consider a family of dissipative active scalar equations whose velocity fields are coupled by means of multiplier operators that can be of high-order. In the first part, we prove global well-posedness, decay of Lp's norms and some symmetry properties of solutions for initial data in the critical Lebesgue space and without smallness condition. In the second part, we introduce the Fourie-Besov-Morrey spaces, which seems to be new in the analysis of PDEs in order to find self-similar solutions and to consider a larger class of couplings and initial data. Smallness conditions on the norm of the space are assumed for these results. Furthermore, we show an asymptotic stability result and obtain a class of asymptotically self-similar solutions / Doutorado / Matematica / Doutora em Matemática

La présente thèse couvre deux principaux thèmes de recherche qui seront présentés dans deux parties et précédés par un prolegomenon commun. Dans ce dernier nous introduisons les concepts essentiels et nous exploitons aussi le lien entre les deux parties.<p><p>Dans la première partie, le principal objet d’intérêt est la soi-disant fonctionnelle exponentielle de processus de Lévy. La loi de cette variable aléatoire joue un rôle primordial dans de nombreux domaines divers tant sur le plan théorique que dans des domaines appliqués. Doney dérive une factorisation de la loi arc-sinus en termes de suprema de processus stables indépendants et de même index. Une factorisation similaire de la loi arc-sinus en termes de derniers temps de passage au niveau 1 de processus de Bessel peut aussi être établie en utilisant un résultat dû à Getoor. Des factorisations semblables d’une variable de Pareto en termes des mêmes objets peut également être obtenue. Le but de cette partie est de donner une preuve unifiée et une généralisation de ces factorisations qui semblent n’avoir aucun lien à première vue. Même s’il semble n’y avoir aucune connexion entre le supremum d’un processus stable et le dernier temps de passage d’un processus de Bessel, il peut être montré que ces variables aleatoires sont liées à des fonctionnelles exponentielles de processus de Lévy spécifiques. Notre contribution principale dans cette partie et aussi au niveau de caractérisations de la loi de la fonctionnelle exponentielle sont des factorisations de la loi arc-sinus et de variables de Pareto généralisées. Notre preuve s’appuie sur une factorisation de Wiener-Hopf récente de Patie et Savov.<p>Dans la deuxième partie, motivée par le fait que la dérivée fractionnaire de Caputo et d’autres opérateurs fractionnaires classiques coïncident avec le générateur de processus de Markov auto-similaires positifs particuliers, nous introduisons des opérateurs généralisés de Caputo et nous étudions certaines propriétés. Nous nous intéressons particulièrement aux conditions sous lesquelles ces opérateurs coïncident avec les générateurs infinitésimaux de processus de Markov auto-similaires positifs généraux. Dans ce cas, nous étudions les fonctions invariantes de ces opérateurs qui admettent une représentation en termes de séries entières. Nous précisons que cette classe de fonctions contient les fonctions de Bessel modifiées, les fonctions de Mittag-Leffler ainsi que plusieurs fonctions hypergéométriques. Nous proposons une étude unifiant et en profondeur de cette classe de fonctions. / Doctorat en Sciences / info:eu-repo/semantics/nonPublished

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Digital Signal Processing has been dominated by the Fourier transform since the Fast Fourier Transform (FFT) was developed in 1965 by Cooley and Tukey. In the 1980's a new transform was developed called the wavelet transform, even though the first wavelet goes back to 1910. With the Fourier transform, all information about localized changes in signal features are spread out across the entire signal space, making local features global in scope. Wavelets are able to retain localized information about the signal by applying a function of a limited duration, also called a wavelet, to the signal. As with the Fourier transform, the discrete wavelet transform has an inverse transform, which allows us to make changes in a signal in the wavelet domain and then transform it back in the time domain. In this thesis, we have investigated the filtering properties of this technique and analyzed its performance under various settings. Another popular application of wavelet transform is data compression, such as described in the JPEG 2000 standard and compressed digital storage of fingerprints developed by the FBI. Previous work on filtering has focused on the discrete wavelet transform. Here, we extended that method to the stationary wavelet transform and found that it gives a performance boost of as much as 9 dB over that of the discrete wavelet transform. We also found that the SNR of noise filtering decreases as a frequency of the base signal increases up to the Nyquist limit for both the discrete and stationary wavelet transforms. Besides filtering the signal, the discrete wavelet transform can also be used to estimate the standard deviation of the white noise present in the signal. We extended the developed estimator for the discrete wavelet transform to the stationary wavelet transform. As with filtering, it is found that the quality of the estimate decreases as the frequency of the base signal increases. Many interesting signals are self-similar, which means that one of their properties is invariant on many different scales. One popular example is strict self-similarity, where an exact copy of a signal is replicated on many scales, but the most common property is statistical self-similarity, where a random segment of a signal is replicated on many different scales. In this work, we investigated wavelet-based methods to detect statistical self-similarities in a signal and their performance on various types of self-similar signals. Specifically, we found that the quality of the estimate depends on the type of the units of the signal being investigated for low Hurst exponent and on the type of edge padding being used for high Hurst exponent. / Master of Science

Approved for public release, distribution is unlimited / The performance of network management tools for SONET/SDH networks subject to the load conditions is studied and discussed in this thesis. Specifically, a SONET network which consists of four CISCO ONS 15454s, managed by a CISCO Transport Manager, is set up in the Advanced Network Laboratory of the Naval Postgraduate School. To simulate a realistic data transfer environment for the analysis, Smartbits Avalanche software is deployed to simulate multiple client-server scenarios in the SONET network. Traffic from the management channel is then captured using a packet sniffer. Queuing analysis on the captured data is performed with particular emphasis on properties of self-similarity. In particular, the Hurst parameter which determines the captured traffic's degree of self-similarity is estimated using the Variance-Index plot technique. Link utilization is also derived from the computation of first-order statistics of the captured traffic distribution. The study shows that less management data was exchanged when the SONET network was fully loaded. In addition, it is recommended that CTM 4.6 be used to manage not more than 1552 NEs for safe operation. The results presented in this thesis will aid network planners to optimize the management of their SONET/SDH networks. / Civilian, Ministry of Defense, Singapore

Le détachement d'une goutte est un phénomène que nous observons quotidiennement. Il résulte de la rupture de l'interface entre le fluide dispersé en goutte et le fluide environnant. Cette rupture a fait l'objet de nombreuses études. Il est bien établi que sa dynamique est régie par une compétition entre la capillarité, l'inertie, et la viscosité du fluide. Ce manuscrit décrit l'influence sur la dynamique de rupture d'une modification des propriétés de l'interface entre deux fluides à l'aide d'agents de surface. Lorsque l'agent de surface est un surfactant (SDS), la dynamique d'amincissement peut se faire selon deux modes. Deux régimes linéaires en temps constituent le premier mode. Le second mode comporte trois régimes linéaires. Dans les deux cas, l'aminicissement commence par un premier régime, suivi d'un deuxième régime de pente plus forte. Lorsque le troisième régime existe, sa pente est inférieure à celle du second régime. La variation des pentes des régimes linéaires témoigne du comportement dynamique du surfactant à l'interface. La valeur de la tension interfaciale $\gamma$ extraite du premier régime linéaire correspond à la valeur à l'équilibre de la tension interfaciale du système, $\gamma_{eq}$. La vitesse d'amincissement plus élevée au cours du second régime est reliée à une dépletion partielle en surfactant de la zone d'amincissement maximal. Le ralentissement constaté pendant le troisième régime est lié au déplacement de cette zone vers une région plus riche en surfactant, où la tension $\gamma$ est plus faible. La dynamique d'amincissement du cou est très différente lorsque des polymères de poids moléculaire intermédiaire ($\sim$ 100 kDa) sont présents simultanément avec du SDS dans la phase continue. Lorsque $C_{SDS}$ est supérieure à 0,15 fois la concentration micellaire critique (CMC), le comportement est identique à celui observé en présence de surfactant seul. En dessous de 0,15 CMC, l'amincissement ralentit exponentiellement à l'approche de la rupture, et un phénomène de beads-on-a-string apparaît. Ces constatations sont analogues à celles faites lorsqu'une solution de polymères est menée à la rupture. Dans notre cas, les polymères sont uniquement à la surface du jet et non dans son volume! Une analyse des profils du cou au cours du temps démontre l'existence d'une auto-similarité à l'approche de la rupture. Bien que les systèmes étudiés soient plus complexes, ils présentent des caractéristiques qualitativement analogues à celles observées dans des systèmes de fluides simples. Toutefois, il existe une grande différence quantitative. / Droplet detachment is ubiquitous in everyday life. It results from the rupture of an interface separating two fluids. This rupture has been widely studied. It is now well established that it relies on a competition between capillary, inertial and viscous phenomena. In this manuscript, we report on the influence on the breakup dynamics of the presence of surface agents at the interface. When SDS is used as a surface agent, thinning can proceed in two ways. In the first mode, the dynamics of thinning are characterized by two linear-in-time regimes. The second mode is made of three linear-in-time regimes. In both cases, thinning starts with a first regime, followed by a steeper second regime. When a third regime exists, its slope is softer. Slope variation bears witness to a dynamical behaviour of the surfactants at the interface. The value for the interfacial tension $\gamma$ calculated from the slope of the first linear regime is in agreement with the equilibrium interfacial tension of the system, $\gamma_{eq}$. The higher thinning speed during the second regime is linked to a partial depletion in surfactant of the maximal thinning zone. The slowdown in the tihrd regime is related to a displacement of the thinning zone in a region of higher surfactant concentration, where $\gamma$ is lower. The thinning dynamics is very different when polymers are added to the surfactant solution. If $C_{SDS}$ is higher than 0.15 times the critical micellar concentration (CMC), a behaviour similar to the pure-surfactant case is observed. Below 0.15 CMC, an exponential slowdown is observed in the last instants, as well as a "`beads-on-a-string"' phenomenon. These observations are analogous to what is seen when a solution of polymers is led to breakup. In our case, polymers are not in the bulk; they are at the interface of the two fluids! Analysis of the profiles of the neck in both cases showed that profiles are self-similar. Qualitatively, they share features with profiles observed in the case of breakup of interfaces between simple fluids. Quantitatively, slopes and angles are different.

Nonlinear wave-wave interactions and wave breaking contribute to nearshore wave energy dissipation. These factors can be analyzed by the principles of wave self-similarity. The equilibrium range can be shown in wind-driven wave spectra that exist in the form ( ) and However, the appropriate methods used to determine this loss of energy are controversial. This study examines an approach that reinvestigates the self-similarity principles. Wave spectra with lower peak periods are dominated by nonlinear wave-wave interactions which produce a scaling in shallow water. This thesis investigates the relative role of spectral similarity in different conditions in the nearshore region of the U.S. Army Corps of Engineers Field Research Facility in Duck, North Carolina. The results show young sea waves (wave spectra in which the propagation speed of waves at the spectral peak is much smaller than the wind speed) are dominated by nonlinear wave-wave interactions in the nearshore while older waves (wave spectra in which the propagation speed of waves at the spectral peak is equal to or greater than the wind speed) are dominated by wave breaking in deep water. Furthermore, nearshore wave models need to incorporate the self-similarity concept in deep and shallow water to better understand and quantify important aspects of wave physics in shallow water.