La conception robuste de pièce mécaniques consiste à prendre en compte dans la modélisation les sources d'incertitudes.Le modèle devient alors assez représentatif de la réalité pour pouvoir diminuer les marges de sécurité, qui permettent de garantir que la pièce en fonctionnement ne sera pas mise en défaut.Dans le cas de pièces aérospatiales, une diminution des marges de sécurité est un enjeu économique majeur car cela entraîne une diminution du poids des pièces.La probabilité de défaillance est une des quantités critiques lors de la conception robuste. Celle-ci quantifie le risque de défaillance de la pièce en comparant la probabilité de résistance du matériau (caractérisée à partir d'essais sur éprouvettes) avec la probabilité de sollicitation du matériau, qui est déterminée à partir des contraintes extérieures à la pièce et des caractéristiques du matériau. C'est ce dernier problème qui a fait l'objet de cette thèse.Dans le cas d'un comportement non linéaire du matériau, la détermination de la probabilité de sollicitation impose d'exécuter de nombreuses fois un calcul de la pièce pour différentes valeurs des conditions aux limites et des paramètres du comportement matériau.Ceci devient rapidement hors de portée sans une stratégie adaptée, un calcul pouvant prendre jusqu'à 12 heures.Une stratégie dédiée à la résolution de l'ensemble de ces calculs est proposée dans ce travail. Elle tire parti de la similarité des calculs pour diminuer le temps total nécessaire. Un gain allant jusqu'à 30 est atteint sur des pièces industrielles simples en quasi-statique avec un comportement élasto-viscoplastique. / The robust design of mechanical parts consists in modeling the sources of uncertainty.The model becomes fairly representative of the reality in order to reduce safety margins, which guarantee that the operating part will not been at fault.In the case of aerospace parts, a reduction of safety margins is a major economic issue as it leads to a decrease in weight.The probability of failure is a critical quantity in the robust design. It quantifies the risk of failure of the part by comparing the likelihood of resistance of the material (characterized from tests on specimens) with the probability of solicitation of the material, which is determined from external constraints to the part and characteristics of the material. This last problem has been the subject of this thesis.In the case of a non-linear behavior of the material, determining the probability of solicitation requires to run many times a calculation of the part for different values of boundary conditions and parameters values of the material constitutive law.This is quickly becoming out of reach without an appropriate strategy, as one calculation can take up to 12 hours.A strategy dedicated to solving all of these calculations is proposed in this work. It takes advantage of the similarity of the calculations to reduce the total time required. A gain of up to 30 is reached on industrial parts with quasi-static elastic-viscoplastic behavior.

Aujourd'hui, les outils de simulations numériques sont omniprésents dans l'industrie, que ce soit dans l'industrie aéronautique, aérospatiale, ferroviaire ou automobile.En effet leur utilisation limite la fabrication (souvent très couteuse) de prototype, et permettent ainsi de réduire les couts et d'accélérer la phase de conception d'un nouveau produit.Dans le cadre des applications acoustiques, il est souvent recommandé de calculer la réponse sur l'ensemble de la bande de fréquences d'intérêt.Les outils de simulation numérique sur une bande de fréquences impliquent généralement plusieurs calculs à fréquences fixes.Même si c'est un moyen simple et naturel pour répondre au problème posé, une telle stratégie peut facilement conduire à des calculs énormes. Cela est particulièrement vrai dans la gamme des moyennes fréquences, où la réponse est particulièrement sensible à la fréquence.Dans cette thèse, la PGD (Proper Generalized Decomposition), est appliqué pour trouver une représentation fonctionnelle distincte de la fréquence et de l'amplitude des inconnues de la TVRC (théorie variationnelle des rayons complexes) sur une bande de fréquences donnée.Ceci permet d'obtenir une réponse de haute qualité sur une large bande en moyennes fréquences, sans nécessité de discrétisation fine de la plage de fréquences considérées. En outre, la représentation PGD de la solution permet d'économiser une grande quantité d'espace en terme de stockage de données. Dans un second temps, la technique PGD a été étendue à la stochastique. / In many industrial contexts, such as aerospace applications or cars design, numerical prediction techniquesbecome more and more useful. They restrict the use of real prototypes to a minimum and make easier thedesign phase. In such industries and in the specific for acoustic, engineers are interested in computing theresponses of systems on frequency bands. In order to predict the vibration behavior of systems overfrequency bands, standard numerical techniques usually involve many frequency-fixed computations, atmany different frequencies. Although it is a straightforward and natural mean to answer to the posed problem,such a strategy can easily lead to huge computations, and the amount of data to store often increasessignificantly. This is particularly true in the context of medium frequency bands, where these responses havea strong sensitivity to the frequency. In this work PGD (Proper Generalized Decomposition), in a first time, isapplied to found a separate functional representation over frequency and space of the unknown amplitude ofVTCR (Variational Theory of Complex Rays) formulation on a reduced frequency space. This allows tocalculate an high quality mid-frequency response over a wide band without a fine frequency discretization,saving computational resources. Moreover the PGD representation of the solution allows to save a hugeamount of space in term of stored data. In a second time, PGD technique as been applied to extend itspeculiarity to mid-frequency wide band with uncertainty.

No description available.

This thesis consists of three published articles and one submitted article, and is focused on the evaluation of the effects of vegetation on soil microbial communities and processes on brown coal post-mining sites. The research sites served as deposits of infertile waste material, by which the indigenous vegetation has been buried and thus the whole ecosystem was destroyed. The restoration of the ecosystem structure and functions at these areas was based on the improvement of biotic and abiotic properties of excavated soil substrate either using assisted afforestation or using spontaneous plant succession. In this work, biochemical and molecular techniques were employed in order to testify the effect of the vegetation on soil microbial processes, structure of soil microbial communities and to follow the chemical changes in the litter composition during its decomposition. Litter chemistry, enzymatic activities and microbial biomass were followed by standard biochemical procedures including spectrometry and HPLC. Bacterial microarray was used for assessing the composition of bacterial communities in the soil of successional plots. 454-pyrosequencing was employed for detailed identification of fungal and bacterial community composition in the litter layer and the bulk soil under different tree...

Code decomposition (also known as functional decomposition) is the process of breaking a larger problem into smaller subproblems so that each function implements only a single task. Although code decomposition is integral to computer science, it is often overlooked in introductory computer science education due to the challenges of teaching it given limited resources. Earthworm is a tool that generates unique suggestions on how to improve the decomposition of provided Python source code. Given a program as input, Earthworm presents the user with a list of suggestions to improve the functional decomposition of the program. Each suggestion includes the lines of code that can be refactored into a new function, the arguments that must be passed to this function and the variables returned from the function. The tool is intended to be used in introductory computer science courses to help students learn more about decomposition. Earthworm generates suggestions by converting Python source code into a control flow graph. Static analysis is performed on the control flow graph to direct the generation of suggestions based on code slices.

The topic of my thesis On the Pasník a time and decomposition. I have produced small houses from natural materials and placed them in a forest. The subject of my work is to record the flow of time. The outcome of my work is time based large-formal drawing. The buildings on the drawing gradually collapse and disappear. Thus I have created the time drawing.

Current computing hardware supports parallelism at various levels. Conventional programming techniques, however, do not utilise efficiently this growing resource. This thesis seeks a better fit between software and current hardware while following a hardware-agnostic software development approach. This allows the programmer to remain focussed on the problem domain. The thesis proposes process-based problem decomposition as a natural way to structure a concurrent implementation that may also improve multicore utilisation and, consequently, run-time performance. The thesis presents four algorithms as case studies from the domain of string pattern matching and finite automata. Each case study is conducted in the following manner. The particular sequential algorithm is decomposed into a number of communicating concurrent processes. This decomposition is described in the process algebra CSP. Hoare's CSP was chosen as one of the best known process algebras, for its expressive power, conciseness, and overall simplicity. Once the CSP-based process description has brought ideas to a certain level of maturity, the description is translated into a process-based implementation. The Go programming language was used for the implementation as its concurrency features were inspired by CSP. The performance of the process-based implementation is then compared against its conventional sequential version (also provided in Go). The goal is not to achieve maximal performance, but to compare the run-time performance of an ``ordinary'' programming effort that focussed on a process-based solution over a conventional sequential implementation. Although some implementations did not perform as well as others, some did significantly outperform their sequential counterparts. The thesis thus provides prima facie evidence that a process-based decomposition approach is promising for achieving a better fit between software and current multicore hardware. / Thesis (PhD)--University of Pretoria, 2017. / Computer Science / PhD / Unrestricted

Structure and function of soil microbial communities in montane spruce forest Martina Štursová Abstract Coniferous forests are spatially heterogeneous environments and represent an important ecosystem that acts as carbon sink under current climate storing large amounts of carbon in standing biomass or as soil organic matter. The formation of organic matter via decomposition of dead biomass and transformation of rhizodeposited organic compounds is primarily mediated by microbial community of forest topsoil. Despite growing insight into the composition of these soil communities, little is known about the microbes actually responsible for those transformation processes, about the drivers shaping these communities or their response to increasing numbers of severe disturbances. Studies presented in this thesis contribute to filling the information. The studies were carried out in unmanaged spruce forests in the highest elevations of Bohemian Forest, in both, the undisturbed areas as well as those affected by bark beetle outbreaks at different time periods. Combination of methods including culturing of fungi, enzymatic activity measurements or high throughput sequencing were used to describe the microbial communities, their distribution in space and time, and factors involved in shaping these communities in those...

Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1980 / Bibliography: leaves 85-87. / by Frances Annette Habib. / M.S. / M.S. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science

The amount of water flowing through streams and rivers changes through time. The seasonality and duration of these changes can have profound impacts on human freshwater availability, aquatic habitat, and biogeochemical cycling. Numerous factors are thought to influence streamflow regime, including drainage basin area, temperature, precipitation, and land cover. Few of these qualities have remained untouched, either directly or indirectly, by expanding human activities. Altered climate, sweeping changes to large portions of the earth's surface, and the construction of dams and other infrastructure have fundamentally altered streamflows worldwide. Understanding the nature of these changes, both globally and regionally in the Western United States, is the subject of this thesis. In chapter 1 we explore ideal metric spaces for describing streamflow regime. The representation of information in concise terms is usually preliminary to developing an understanding of any system, and streamflow regime, which has been described with over 600 unique variables, is no exception. We demonstrate the efficacy of dimensionality reduction techniques, as well as frequency decompositions, in succinctly capturing much of the information previously described with hundreds of variables. We use this succinct language to gain key insights into major drivers of streamflow regime and present a new hypothesis about the mechanisms mediating flow variability. In chapter 2, we use frequency decompositions and several machine learning approaches to characterize streamflow regimes around the world and to understand how they are changing through time. Finally, in chapter 3, we analyze the effect that wildfire has had on the timing, amount, and variability of flow in the western US in recent decades. The work presented here demonstrates the power that advances in data science, particularly in time series analysis methods and machine learning, can have when coupled with large datasets in revealing insights into global and regional phenomena in hydrology.