Tesis sobre el tema "Algorithme de flots"
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Gueth, Frederic. "Observations interférométriques des flots moléculaires L1157 et HH211". Université Joseph Fourier (Grenoble), 1997. http://www.theses.fr/1997GRE10202.
Texto completoVernet, Mathilde. "Modèles et algorithmes pour les graphes dynamiques". Thesis, Normandie, 2020. http://www.theses.fr/2020NORMLH12.
Texto completoGraph problems have been widely studied in the case of static graphs. However, these graphs do not allow a time dimension to be considered, even though time is an important variable for the situations to model. Dynamic graphs make it possible to model evolution over time. This is a reason to wonder about graph problems in a dynamic context. First, it is necessary to define the most appropriate dynamic graphs model and the precise problem on those graphs. When the problem cannot be efficiently solved directly using known static graph methods, an algorithm specific to dynamic graphs must be designed and analyzed theoretically and practically.With that approach, this thesis' objective is to study graph problems' extensions to dynamic graphs. This works deals with several graph problems in a dynamic context by focusing on algorithmic aspects and without considering application domains
Bouchakour, Mustapha. "Composition de graphes et le polytope des absorbantsUn algorithme de coupes pour le problème du flots a coûts fixes". Rennes 1, 1996. http://www.theses.fr/1996REN10196.
Texto completoBeker, Sergio Ariel. "Techniques d'Optimisation pour le Dimensionnement et la Reconfiguration des Réseaux MPLS". Phd thesis, Télécom ParisTech, 2004. http://pastel.archives-ouvertes.fr/pastel-00000689.
Texto completoBonnotte, Nicolas. "Unidimensional and Evolution Methods for Optimal Transportation". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00946781.
Texto completoSa, Shibasaki Rui. "Lagrangian Decomposition Methods for Large-Scale Fixed-Charge Capacitated Multicommodity Network Design Problem". Thesis, Université Clermont Auvergne (2017-2020), 2020. http://www.theses.fr/2020CLFAC024.
Texto completoTypically present in logistics and telecommunications domains, the Fixed-Charge Multicommodity Capacitated Network Design Problem remains challenging, especially when large-scale contexts are involved. In this particular case, the ability to produce good quality soutions in a reasonable amount of time leans on the availability of efficient algorithms. In that sense, the present thesis proposed Lagrangian approaches that are able to provide relatively sharp bounds for large-scale instances of the problem. The efficiency of the methods depend on the algorithm applied to solve Lagrangian duals, so we choose between two of the most efficient solvers in the literature: the Volume Algorithm and the Bundle Method, providing a comparison between them. The results showed that the Volume Algorithm is more efficient in the present context, being the one kept for further research.A first Lagrangian heuristic was devised to produce good quality feasible solutions for the problem, obtaining far better results than Cplex, for the largests instances. Concerning lower bounds, a Relax-and-Cut algorithm was implemented embbeding sensitivity analysis and constraint scaling, which improved results. The increases in lower bounds attained 11\%, but on average they remained under 1\%.The Relax-and-Cut algorithm was then included in a Branch-and-Cut scheme, to solve linear programs in each node of the search tree. Moreover, a Feasibility Pump heuristic using the Volume Algorithm as solver for linear programs was implemented to accelerate the search for good feasible solutions in large-scale cases. The obtained results showed that the proposed scheme is competitive with the best algorithms in the literature, and provides the best results in large-scale contexts. Moreover, a heuristic version of the Branch-and-Cut algorithm based on the Lagrangian Feasibility Pump was tested, providing the best results in general, when compared to efficient heuristics in the literature
Soyez-Martin, Claire. "From semigroup theory to vectorization : recognizing regular languages". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB052.
Texto completoThe pursuit of optimizing regular expression validation has been a long-standing challenge,spanning several decades. Over time, substantial progress has been made through a vast range of approaches, spanning from ingenious new algorithms to intricate low-level optimizations.Cutting-edge tools have harnessed these optimization techniques to continually push the boundaries of efficient execution. One notable advancement is the integration of vectorization, a method that leverage low-level parallelism to process data in batches, resulting in significant performance enhancements. While there has been extensive research on designing handmade tailored algorithms for particular languages, these solutions often lack generalizability, as the underlying methodology cannot be applied indiscriminately to any regular expression, which makes it difficult to integrate to existing tools.This thesis provides a theoretical framework in which it is possible to generate vectorized programs for regular expressions corresponding to rational expressions in a given class. To do so, we rely on the algebraic theory of automata, which provides tools to process letters in parallel. These tools also allow for a deeper understanding of the underlying regular language, which gives access to some properties that are useful when producing vectorized algorithms. The contribution of this thesis is twofold. First, it provides implementations and preliminary benchmarks to study the potential efficiency of algorithms using algebra and vectorization. Second, it gives algorithms that construct vectorized programs for languages in specific classes of rational expressions, namely the first order logic and its subset restricted to two variables
Frery, Jordan. "Ensemble Learning for Extremely Imbalced Data Flows". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES034.
Texto completoMachine learning is the study of designing algorithms that learn from trainingdata to achieve a specific task. The resulting model is then used to predict overnew (unseen) data points without any outside help. This data can be of manyforms such as images (matrix of pixels), signals (sounds,...), transactions (age,amount, merchant,...), logs (time, alerts, ...). Datasets may be defined to addressa specific task such as object recognition, voice identification, anomaly detection,etc. In these tasks, the knowledge of the expected outputs encourages a supervisedlearning approach where every single observed data is assigned to a label thatdefines what the model predictions should be. For example, in object recognition,an image could be associated with the label "car" which suggests that the learningalgorithm has to learn that a car is contained in this picture, somewhere. This is incontrast with unsupervised learning where the task at hand does not have explicitlabels. For example, one popular topic in unsupervised learning is to discoverunderlying structures contained in visual data (images) such as geometric formsof objects, lines, depth, before learning a specific task. This kind of learning isobviously much harder as there might be potentially an infinite number of conceptsto grasp in the data. In this thesis, we focus on a specific scenario of thesupervised learning setting: 1) the label of interest is under represented (e.g.anomalies) and 2) the dataset increases with time as we receive data from real-lifeevents (e.g. credit card transactions). In fact, these settings are very common inthe industrial domain in which this thesis takes place
Gessese, Alelign Fekade. "Algorithms for Bed Topography Reconstruction in Geophysical Flows". Thesis, University of Canterbury. Mechanical Engineering, 2013. http://hdl.handle.net/10092/8673.
Texto completoPervaiz, Mehtab M. "Spatio-temporal adaptive algorithm for reacting flows". Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/34994.
Texto completoChizat, Lénaïc. "Transport optimal de mesures positives : modèles, méthodes numériques, applications". Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED063/document.
Texto completoThis thesis generalizes optimal transport beyond the classical "balanced" setting of probability distributions. We define unbalanced optimal transport models between nonnegative measures, based either on the notion of interpolation or the notion of coupling of measures. We show relationships between these approaches. One of the outcomes of this framework is a generalization of the p-Wasserstein metrics. Secondly, we build numerical methods to solve interpolation and coupling-based models. We study, in particular, a new family of scaling algorithms that generalize Sinkhorn's algorithm. The third part deals with applications. It contains a theoretical and numerical study of a Hele-Shaw type gradient flow in the space of nonnegative measures. It also adresses the case of measures taking values in the cone of positive semi-definite matrices, for which we introduce a model that achieves a balance between geometrical accuracy and algorithmic efficiency
Pullan, Malcolm Craig. "Separated continuous linear programs : theory and algorithms". Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260693.
Texto completoBourlon, Franck. "Réalisation d'une plate-forme expérimentale pour l'élaboration de pilotages automatiques flous d'une rame de métro en similation à partir de données objectives et subjectives". Valenciennes, 1996. https://ged.uphf.fr/nuxeo/site/esupversions/f8e11027-0073-4089-8f02-5bb1ea3ea18c.
Texto completoSince the pioneer works achieved by ZADEH and MAMDANI about fuzzy control, this one has been industrially applied in various domains such as transportation. Besides, since 1987, the Sendai subway (Japan) is automatically driven by a fuzzy control algorithm. Thus, the works set out in this report and carried out in collaboration with RATP, intend to evaluate the feasibility of a subway train fuzzy controller. Many aspects of driving are considered in the controller we intend to design, particulary passengers’comfort and energy saving. For that, an experimental platform reproducing the real system is achieved. Different experiments are performed by thirty-two subjects carrying out three tasks (speed traceability, stopping and driving) over three interstations, fictious and actual. From collected data, the problem consists in determining the best subjects, named experts, in the light of five criteria (running time, target speed traceability, stopping accuracy, comfort, energy consumption) for each task and interstation. Three ways are proposed. The former is a fuzzy method, the latter are multicriteria ones. Their results are then synthesized to determine experts. Then data related to each of the experts are treated via TAKAGI & SUGENO fuzzy identification algorithm to fit the different parameters of two kinds of fuzzy controllers : “single” and “double”. An evaluation of these controllers is given by comparing their results to those obtained through other approaches (classical and fuzzy ones). This report ends by a conclusion about the contribution of such fuzzy controllers in automatic subway train driving and introduces the different prospects of this feasibility study
Bonnal, Pierre. "Planification possibiliste d'un grand projet industriel s'appuyant sur l'approche de la chaîne critique". Toulouse, INPT, 2002. http://www.theses.fr/2002INPT001H.
Texto completoSlack, David Christopher. "The development of solution algorithms for compressible flows". Diss., This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-07282008-134254/.
Texto completoPalaniappan, Karthik. "Algorithms for automatic feedback control of aerodynamic flows /". May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Texto completoTang, Ping. "Counting algorithm for network arrangements within activity floats". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ30035.pdf.
Texto completoAggarwal, Charu C., Haim Kaplan y Robert E. 1948 Tarjan. "A Faster Primal Network Simplex Algorithm". Massachusetts Institute of Technology, Operations Research Center, 1996. http://hdl.handle.net/1721.1/5266.
Texto completoRomera, Thomas. "Adéquation algorithme architecture pour flot optique sur GPU embarqué". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS450.
Texto completoThis thesis focus on the optimization and efficient implementation of pixel motion (optical flow) estimation algorithms on embedded graphics processing units (GPUs). Two iterative algorithms have been studied: the Total Variation - L1 (TV-L1) method and the Horn-Schunck method. The primary objective of this work is to achieve real-time processing, with a target frame processing time of less than 40 milliseconds, on low-power platforms, while maintaining acceptable image resolution and flow estimation quality for the intended applications. Various levels of optimization strategies have been explored. High-level algorithmic transformations, such as operator fusion and operator pipelining, have been implemented to maximize data reuse and enhance spatial/temporal locality. Additionally, GPU-specific low-level optimizations, including the utilization of vector instructions and numbers, as well as efficient memory access management, have been incorporated. The impact of floating-point number representation (single-precision versus half-precision) has also been investigated. The implementations have been assessed on Nvidia's Jetson Xavier, TX2, and Nano embedded platforms in terms of execution time, power consumption, and optical flow accuracy. Notably, the TV-L1 method exhibits higher complexity and computational intensity compared to Horn-Schunck. The fastest versions of these algorithms achieve a processing rate of 0.21 nanoseconds per pixel per iteration in half-precision on the Xavier platform, representing a 22x time reduction over efficient and parallel CPU versions. Furthermore, energy consumption is reduced by a factor of x5.3. Among the tested boards, the Xavier embedded platform, being both the most powerful and the most recent, consistently delivers the best results in terms of speed and energy efficiency. Operator merging and pipelining have proven to be instrumental in improving GPU performance by enhancing data reuse. This data reuse is made possible through GPU Shared memory, which is a small, high-speed memory that enables data sharing among threads within the same GPU thread block. While merging multiple iterations yields performance gains, it is constrained by the size of the Shared memory, necessitating trade-offs between resource utilization and speed. The adoption of half-precision numbers accelerates iterative algorithms and achieves superior optical flow accuracy within the same time frame compared to single-precision counterparts. Half-precision implementations converge more rapidly due to the increased number of iterations possible within a given time window. Specifically, the use of half-precision numbers on the best GPU architecture accelerates execution by up to x2.2 for TV-L1 and x3.7 for Horn-Schunck. This work underscores the significance of both GPU-specific optimizations for computer vision algorithms, along with the use and study of reduced floating point numbers. They pave the way for future enhancements through new algorithmic transformations, alternative numerical formats, and hardware architectures. This approach can potentially be extended to other families of iterative algorithms
Gaumont, Noé. "Groupes et Communautés dans les flots de liens : des données aux algorithmes". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066271/document.
Texto completoInteractions are everywhere: in the contexts of face-to-face contacts, emails, phone calls, IP traffic, etc. In all of them, an interaction is characterized by two entities and a time interval: for instance, two individuals meet from 1pm to 3pm. We model them as link stream which is a set of quadruplets (b,e,u,v) where each quadruplet means that a link exists between u and v from time b to time e. In graphs, a community is a subset which is more densely connected than a reference. Within the link stream formalism, the notion of density and reference have to be redefined. Therefore, we study how to extend the notion of density for link streams. To this end, we use a real data set where a community structure is known. Then, we develop a method that finds automatically substream which are considered relevant. These substream, defined as subsets of links, are discovered by a classical community detection algorithm applied on the link stream the transformed into a static graph. A substream is considered relevant, if it is denser than the substreams which are close temporally and structurally. Thus, we deepen the notion of neighbourhood and reference in link streams. We apply our method on several real world interaction networks and we find relevant substream which would not have been found by existing methods. Finally, we discuss the generation of link streams having a given community structure and also a proper way to evaluate such community structure
Gaumont, Noé. "Groupes et Communautés dans les flots de liens : des données aux algorithmes". Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066271.
Texto completoInteractions are everywhere: in the contexts of face-to-face contacts, emails, phone calls, IP traffic, etc. In all of them, an interaction is characterized by two entities and a time interval: for instance, two individuals meet from 1pm to 3pm. We model them as link stream which is a set of quadruplets (b,e,u,v) where each quadruplet means that a link exists between u and v from time b to time e. In graphs, a community is a subset which is more densely connected than a reference. Within the link stream formalism, the notion of density and reference have to be redefined. Therefore, we study how to extend the notion of density for link streams. To this end, we use a real data set where a community structure is known. Then, we develop a method that finds automatically substream which are considered relevant. These substream, defined as subsets of links, are discovered by a classical community detection algorithm applied on the link stream the transformed into a static graph. A substream is considered relevant, if it is denser than the substreams which are close temporally and structurally. Thus, we deepen the notion of neighbourhood and reference in link streams. We apply our method on several real world interaction networks and we find relevant substream which would not have been found by existing methods. Finally, we discuss the generation of link streams having a given community structure and also a proper way to evaluate such community structure
Burns, Keaton James. "Flexible spectral algorithms for simulating astrophysical and geophysical flows". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119103.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 143-147).
Large-scale numerical simulations are key to studying the complex physical systems that surround us. Simulations provide the ability to perform simplified numerical experiments to build our understanding of large-scale processes which cannot be controlled and examined in the laboratory. This dissertation develops a new open-source computational framework, Dedalus, for solving a diverse range of equations used to model such systems and applies the code to the study of stellar and oceanic fluid flows. In the first part, the spectral algorithms used in Dedalus are introduced and the design and development of the code are described. In particular, the code's symbolic equation specification, arbitrary-dimensional parallelization, and sparse spectral discretization systems are detailed. This project provides the scientific community with an easy-to-use tool that can efficiently and accurately simulate many processes arising in geophysical and astrophysical fluid dynamics. In the second part, Dedalus is used to study the turbulent boundary layers that form at the interface between marine-terminating glaciers and the ocean. A simplified model considering the heat transfer from a heated or cooled wall in a stratified fluid is investigated. We find new scaling laws for the turbulent heat transfer from the wall as a function of the imposed thermal forcing, with potential implications for the sensitivity of glacier melting to warming ocean temperatures. In the third part, Dedalus is used to study the stability of the tidal deformations experienced by binary neutron stars as they inspiral. We develop a numerical workflow for determining the weakly nonlinear stability of a tidally forced plane-parallel atmosphere and verify the results using fully nonlinear simulations. This framework may help determine whether tidal instabilities can be observed in gravitational wave signatures of binary neutron stars, which could provide observational constraints on the equation of state of matter above nuclear densities.
by Keaton James Burns.
Ph. D.
CAVENDISH, SERGIO ALVES. "ELASTIC TIME ALGORITHM FOR VIDEO IN MPEG-2 FLOWS". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8793@1.
Texto completoEm apresentações hipermídia, umas das principais tarefas coordenadas pelo orquestrador da apresentação é a sincronização entre os diversos objetos componentes, que pode ser obtida através do ajuste elástico do tempo de exibição dos objetos. Esta técnica pode ser aplicada em tempo de compilação, de forma a manter os relacionamentos de sincronização especificados pelo autor, ou em tempo de apresentação, para prevenir qualquer descasamento temporal causado pelos ambientes de transmissão e de execução. Este trabalho descreve um conjunto de mecanismos para executar o ajuste elástico em fluxos MPEG-2 de Vídeo e de Sistemas, propondo algoritmos para a realização da compressão e expansão do tempo de exibição, do controle da ocupação do buffer do decodificador, da sincronização intermídia e da reconstrução do relógio de referência. Visando seu emprego em tempo de execução, todo o processo de ajuste é realizado diretamente no fluxo MPEG, sem qualquer transcodificação.
In hypermedia presentations, one of the main tasks provided by the orchestrator is the synchronization of all presentation objects, which may be achieved by elastic time adjustment of period of exhibition of the objects, or simply timescale adaptation. This technique can be applied at compilation time, in order to keep track of synchronism relationships specified by authors, or at presentation time, to prevent any temporal mismatch caused by transmission or execution environments. This work presents a set of mechanisms to carry out timescale adaptation in MPEG-2 Systems and Video streams, proposing algorithms to perform compression and expansion of exhibition period, also called playback dilation, rate control, inter-media synchronization and clock reconstruction. In order to be performed at execution time, timescale operations are realized directly in compressed MPEG-2 streams, requiring no transcodification.
Mansouri, Abdelkhalek. "Generic heuristics on GPU to superpixel segmentation and application to optical flow estimation". Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA012.
Texto completoFinding clusters in point clouds and matching graphs to graphs are recurrent tasks in computer science domain, data analysis, image processing, that are most often modeled as NP-hard optimization problems. With the development and accessibility of cheap multiprocessors, acceleration of the heuristic procedures for these tasks becomes possible and necessary. We propose parallel implantation on GPU (graphics processing unit) system for some generic algorithms applied here to image superpixel segmentation and image optical flow problem. The aim is to provide generic algorithms based on standard decentralized data structures to be easy to improve and customized on many optimization problems and parallel platforms.The proposed parallel algorithm implementations include classical k-means algorithm and application of minimum spanning forest computation for super-pixel segmentation. They include also a parallel local search procedure, and a population-based memetic algorithm applied to optical flow estimation based on superpixel matching. While data operations fully exploit GPU, the memetic algorithm operates like a coalition of processes executed in parallel on the multi-core CPU and requesting GPU resources. Images are point clouds in 3D Euclidean space (space-gray value domain), and are also graphs to which are assigned processor grids. GPU kernels execute parallel transformations under CPU control whose limited role only consists in stopping criteria evaluation or sequencing transformations.The presented contribution contains two main parts. Firstly, we present tools for superpixel segmentation. A parallel implementation of the k-means algorithm is presented with application to 3D data. It is based on a cellular grid subdivision of 3D space that allows closest point findings in constant optimal time for bounded distributions. We present an application of the parallel Boruvka minimum spanning tree algorithm to compute watershed minimum spanning forest. Secondly, based on the generated superpixels and segmentation, we derive parallel optimization procedures for optical flow estimation with edge aware filtering. The method includes construction and improvement heuristics, as winner-take-all and parallel local search, and their embedding into a population-based metaheuristic framework. The algorithms are presented and evaluated in comparison to state-of-the-art algorithms
Sheng, Yi Qian. "Modifications to the SIMPLE method for buoyancy-driven flows /". *McMaster only, 1999.
Buscar texto completoDelaunay, Pascal. "Attaques physiques sur des algorithmes de chiffrement par flot". Versailles-St Quentin en Yvelines, 2011. http://www.theses.fr/2011VERS0006.
Texto completoSince 1999 and Paul Kocher's initial publication, several side-channel attacks have been published. Most of these attacks target public-key cryptosystems and bloc ciphers but only a few of them target stream ciphers, despite being widely used on daily applications. After some remids on side-channel attacks, linear and non-linear feedback shift registers and fast correlation attacks, we propose at first three fast correlation attacks targetting linear feedback shift registers and using side-channel information to improve their accuracy. Next, we present two flaws in non-linear feedback shift registers which allow full recovery of the internal state using well-chosen side-channel attacks. We finally use these vulnerabilities to mount two side-channel attacks against VEST, an eSTREAM candidate, to recover partial information from the internal state
Croft, Thomas Nicholas. "Unstructured mesh : finite volume algorithms for swirling, turbulent, reacting flows". Thesis, University of Greenwich, 1998. http://gala.gre.ac.uk/6371/.
Texto completoDarapuram, Rajasekhar Venkata. "AN INVESTIGATION OF FLUX-SPLITTING ALGORITHMS FOR CHEMICALLY REACTING FLOWS". MSSTATE, 2001. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04102001-104000/.
Texto completoLiu, Zhenming. "Probabilistic Algorithms for Information and Technology Flows in the Networks". Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10553.
Texto completoEngineering and Applied Sciences
Baudin, Alexis. "Cliques statiques et temporelles : algorithmes d'énumération et de détection de communautés". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS609.
Texto completoGraphs are mathematical objects used to model interactions or connections between entities of various types. A graph can represent, for example, a social network that connects users to each other, a transport network like the metro where stations are connected to each other, or a brain with the billions of interacting neurons it contains. In recent years, the dynamic nature of these structures has been highlighted, as well as the importance of taking into account the temporal evolution of these networks to understand their functioning. While many concepts and algorithms have been developed on graphs to describe static network structures, much remains to be done to formalize and develop relevant algorithms to describe the dynamics of real networks. This thesis aims to better understand how massive graphs are structured in the real world, and to develop tools to extend our understanding to structures that evolve over time. It has been shown that these graphs have particular properties, which distinguish them from theoretical or randomly drawn graphs. Exploiting these properties then enables the design of algorithms to solve certain difficult problems much more quickly on these instances than in the general case. My PhD thesis focuses on cliques, which are groups of elements that are all connected to each other. We study the enumeration of cliques in static and temporal graphs and the detection of communities they enable. The communities of a graph are sets of vertices such that, within a community, the vertices interact strongly with each other, and little with the rest of the graph. Their study helps to understand the structural and functional properties of networks. We are evaluating our algorithms on massive real-world graphs, opening up new perspectives for understanding interactions within these networks. We first work on graphs, without taking into account the temporal component of interactions. We begin by using the clique percolation method of community detection, highlighting its limitations in memory, which prevent it from being applied to graphs that are too massive. By introducing an approximate problem-solving algorithm, we overcome this limitation. Next, we improve the enumeration of maximal cliques in the case of bipartite graphs. These correspond to interactions between groups of vertices of different types, e.g. links between people and viewed content, participation in events, etc. Next, we consider interactions that take place over time, using the link stream formalism. We seek to extend the algorithms presented in the first part, to exploit their advantages in the study of temporal interactions. We provide a new algorithm for enumerating maximal cliques in link streams, which is much more efficient than the state-of-the-art on massive datasets. Finally, we focus on communities in link streams by clique percolation, developing an extension of the method used on graphs. The results show a significant improvement over the state of the art, and we analyze the communities obtained to provide relevant information on the organization of temporal interactions in link streams. My PhD work has provided new insights into the study of massive real-world networks. This shows the importance of exploring the potential of graphs in a real-world context, and could contribute to the emergence of innovative solutions for the complex challenges of our modern society
Navarro, David. "Architecture et Conception de Rétines Silicium CMOS : Application à la mesure du flot optique". Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2003. http://tel.archives-ouvertes.fr/tel-00164035.
Texto completod'une recherche de ce codage dans une fenêtre de destination potentielle. Cette approche est novatrice car elle propose une rétine CMOS pouvant traiter (électroniquement) des scènes fortement texturées, et à luminosité changeante, en s'appuyant sur une méthode jusqu'alors réservée aux approches numériques (FPGA, DSP) ou logicielles.
Mejdoub, Mahmoud. "Indexation sémantique des images basée sur les réseaux réguliers de points". Nice, 2010. http://www.theses.fr/2010NICE4046.
Texto completoWith the growth of digital content volumes, the development of methods for index and searching this content becomes a necessity. In this thesis, we are focused on lattice vector quantization approach since its ability to provide an effective automatic structuring of visual feature vectors extracted from the images. The features extraction step is based on local descriptors obtained by the bag of words technique. Local areas selected in the image correspond to both salient points and homogeneous patches. The large number of local descriptors that can be obtained requires effective tools to organize them. For this, we propose a new indexing structure: the “embedded lattices tree” based on lattice vector quantization. The proposed approach is used both to accelerate the k nearest neighbours search and to improve the quality of semantic image classification
Wu, Yu-Chi. "Direct nonlinear interior point methods for optimal power flows". Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15030.
Texto completoCinnella, Pasquale. "Flux-split algorithms for flows with non-equilibrium chemistry and thermodynamics". Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54506.
Texto completoPh. D.
Moradi, Shahab. "A novel scheduling algorithm for video flows in high-rate WPANs". Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/32111.
Texto completoApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Chisholm, Todd. "Multigrid acceleration of an approximately-factored algorithm for steady aerodynamic flows". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28816.pdf.
Texto completoLoum, Georges L. "Segmentation pyramidale de textures par décomposition en ondelettes". Paris 12, 1996. http://www.theses.fr/1996PA120021.
Texto completoPelanti, Marica. "Wave propagation algorithms for multicomponent compressible flows with applications to volcanic jets /". Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6784.
Texto completoWebb, Marcus David. "Isospectral algorithms, Toeplitz matrices and orthogonal polynomials". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/264149.
Texto completoMoscu, Mircea. "Inférence distribuée de topologie de graphe à partir de flots de données". Thesis, Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ4081.
Texto completoThe second decade of the current millennium can be summarized in one short phrase: the advent of data. There has been a surge in the number of data sources: from audio-video streaming, social networks and the Internet of Things, to smartwatches, industrial equipment and personal vehicles, just to name a few. More often than not, these sources form networks in order to exchange information. As a direct consequence, the field of Graph Signal Processing has been thriving and evolving. Its aim: process and make sense of all the surrounding data deluge.In this context, the main goal of this thesis is developing methods and algorithms capable of using data streams, in a distributed fashion, in order to infer the underlying networks that link these streams. Then, these estimated network topologies can be used with tools developed for Graph Signal Processing in order to process and analyze data supported by graphs. After a brief introduction followed by motivating examples, we first develop and propose an online, distributed and adaptive algorithm for graph topology inference for data streams which are linearly dependent. An analysis of the method ensues, in order to establish relations between performance and the input parameters of the algorithm. We then run a set of experiments in order to validate the analysis, as well as compare its performance with that of another proposed method of the literature.The next contribution is in the shape of an algorithm endowed with the same online, distributed and adaptive capacities, but adapted to inferring links between data that interact non-linearly. As such, we propose a simple yet effective additive model which makes use of the reproducing kernel machinery in order to model said nonlinearities. The results if its analysis are convincing, while experiments ran on biomedical data yield estimated networks which exhibit behavior predicted by medical literature.Finally, a third algorithm proposition is made, which aims to improve the nonlinear model by allowing it to escape the constraints induced by additivity. As such, the newly proposed model is as general as possible, and makes use of a natural and intuitive manner of imposing link sparsity, based on the concept of partial derivatives. We analyze this proposed algorithm as well, in order to establish stability conditions and relations between its parameters and its performance. A set of experiments are ran, showcasing how the general model is able to better capture nonlinear links in the data, while the estimated networks behave coherently with previous estimates
LASAGNA, DAVIDE. "Flow physics and control of trapped vortex cell flows". Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2518621.
Texto completoSensen, Norbert. "Lower bounds and exact algorithms for the graph partitioning problem using multicommodity flows". [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=971568243.
Texto completoKasten, Jens [Verfasser]. "Lagrangian feature extraction in two-dimensional unsteady flows : concepts and algorithms / Jens Kasten". Berlin : Freie Universität Berlin, 2012. http://d-nb.info/102749885X/34.
Texto completoKrol, Jakub. "Applications of modal decomposition algorithms to dynamic estimation and reconstruction of fluid flows". Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/60590.
Texto completoDonnot, Benjamin. "Deep learning methods for predicting flows in power grids : novel architectures and algorithms". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS060/document.
Texto completoThis thesis addresses problems of security in the French grid operated by RTE, the French ``Transmission System Operator'' (TSO). Progress in sustainable energy, electricity market efficiency, or novel consumption patterns push TSO's to operate the grid closer to its security limits. To this end, it is essential to make the grid ``smarter''. To tackle this issue, this work explores the benefits of artificial neural networks. We propose novel deep learning algorithms and architectures to assist the decisions of human operators (TSO dispatchers) that we called “guided dropout”. This allows the predictions on power flows following of a grid willful or accidental modification. This is tackled by separating the different inputs: continuous data (productions and consumptions) are introduced in a standard way, via a neural network input layer while discrete data (grid topologies) are encoded directly in the neural network architecture. This architecture is dynamically modified based on the power grid topology by switching on or off the activation of hidden units. The main advantage of this technique lies in its ability to predict the flows even for previously unseen grid topologies. The "guided dropout" achieves a high accuracy (up to 99% of precision for flow predictions) with a 300 times speedup compared to physical grid simulators based on Kirchoff's laws even for unseen contingencies, without detailed knowledge of the grid structure. We also showed that guided dropout can be used to rank contingencies that might occur in the order of severity. In this application, we demonstrated that our algorithm obtains the same risk as currently implemented policies while requiring only 2% of today's computational budget. The ranking remains relevant even handling grid cases never seen before, and can be used to have an overall estimation of the global security of the power grid
Uygur, Ahmet Bilge. "A Non-iterative Pressure Based Algorithm For The Computation Of Reacting Radiating Flows". Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608274/index.pdf.
Texto completowere benchmarked against experimental data and numerical solutions available in the literature and the capability of the code to predict transient solutions was demonstrated on these test cases. Favorable agreements were obtained for both test cases. The effect of radiation and non-gray treatment of the radiative properties were investigated on the second test case. It was found that incorporation of radiation has significant effect on Temeprature and velocity fields but its effect is limited in species predictions. Executions with both radiation models revealed that the non-gray radiation model considered in the present study produces similar results with the gray model at a considerably higher computational cost. The algorithm developed was found to be an efficient and versatile tool for the timedependent simulation of different flow scenarios constitutes the initial steps towards the computation of transient turbulent combustion.
Kannan, Hariharan. "TCP-Carson a loss-event based adaptive AIMD algorithm for long-lived flows". Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0513102-135155.
Texto completoBrayman, Vladimir. "Hierarchical distributed algorithm for optimization of flows and prices in logistics distribution networks /". Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5876.
Texto completoEhounou, Joseph. "Algorithmes de graphes pour la découverte de la topologie d'un réseau énergétique par la connaissance de ses flots". Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLV056/document.
Texto completoIn energy network, the knowledge of equipments, their locations and their functions are theimportant information for the distributor service operator. In fact, each operator has a networkplan often named synoptic schema. That schema shows the interconnexion between equipments inthe network. From this schema, some management decisions have taken for ensuring an optimalperformance of a network.Sometimes, a synoptic schema has some mistakes because the maintenance operations, such aschanged the connexion between equipments or replaced equipments, have not been updated orhave been written with errors. And these mistakes increase exploitation cost in the energy network.We consider an electric network of a datacenter. This network consists of physical topologymodelised by a DAG without circuit and measurements are on the edges of a DAG. The mainpoint of the network is that measurements are some mistakes and the topology is unknown i.ewe know edges but the nodes of edges are unknown. When measurements are correct then thecorrelations between pairwise edges provide the adjacency matrix of the linegraph of undirectedgraph of the DAG. A linegraph is a graph in which each node and the neighbor are partitionnedby one or deux cliques. However, with the mistakes in measurements, the obtained graph is nota linegraph because it contains more or less edges. If the obtained graph is a linegraph then it isa linegraph of the other DAG. Our problem is to discovery the topology of the DAG with somemistakes in measurements.We start by the state of art in the measurement correlations in order to choose the good methodfor our problem. Then, we propose two algorithms to resolve our problem. The first algorithmis the cover algorithm and it returns the set of cliques in the graph. The second algorithm is acorrection algorithm which adds or deletes edges in the graph for getting a nearest linegraph ofthe DAG. In the last, we evaluate the performances of the algorithms by checking the number ofedges corrected and the ability to return a nearest linegraph of the DAG
Hiesböcková, Tereza. "Předpovídání povodňových průtoků v měrných profilech Borovnice - Dalečín". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225458.
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