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Добірка наукової літератури з теми "Agrégation en fréquences"
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Статті в журналах з теми "Agrégation en fréquences"
Béra, Matthieu. "Durkheim en réunion (1ère partie)." Durkheimian Studies 24, no. 1 (December 1, 2020): 3–32. http://dx.doi.org/10.3167/ds.2020.240102.
Повний текст джерелаDanho, Mathias, and Éric Haubruge. "Comportement de ponte et stratégie reproductive de Sitophilus zeamais [Coleoptera : Curculionidae]." Biologie et comportement 84, no. 2 (March 11, 2004): 59–67. http://dx.doi.org/10.7202/007808ar.
Повний текст джерелаДисертації з теми "Agrégation en fréquences"
Abdi, Abyaneh Mohammad. "Génération des signaux agrégés en fréquences dans le contexte de LTE-A." Electronic Thesis or Diss., Paris, ENST, 2016. https://pastel.hal.science/tel-03689710.
Повний текст джерелаIn this dissertation, a signal generation structure is proposed using which a multitone Local Oscillator (LO) signal is created by a single I/Q modulator. These LOs can be used in the CA receivers to down-convert the transmitted component carriers simultaneously. The multi-tone LO signal structure is further developed to be used at the transmitter as a CA generation solution. Using the proposed structure n-component carriers can be generated in parallel. This structures requires lower sampling rates with respect to the case where RF signals are synthesized directly by digital-to- analog converters. Moreover, less circuitry is required, because one single I/Q modulator is used to generate n component carriers, instead of n I/Q modulators. This work follows on investigating the origin of impairments and mild nonlinearities in our I/Q modulator. To overcome these problems, we focus on the functionality of the overall system rather than each component of the I/Q modulator. This method is called behavioral modeling. Once the nonlinear model is obtained, if its inverse function is applied to the input, a linearized output is expected. The generation of the inverse function is called Digital Pre-Distortion (DPD). We propose a tri-band behavioral model for nonlinearities and impairments in tri-band CA using our I/Q modulator. Furthermore, the DPD of the model is evaluated in simulations and experiments
Ayed, Rihab. "Recherche d’information agrégative dans des bases de graphes distribuées." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1305.
Повний текст джерелаIn this research, we are interested in investigating issues related to query evaluation and optimization in the framework of aggregated search. Aggregated search is a new paradigm to access massively distributed information. It aims to produce answers to queries by combining fragments of information from different sources. The queries search for objects (documents) that do not exist as such in the targeted sources, but are built from fragments extracted from the different sources. The sources might not be specified in the query expression, they are dynamically discovered at runtime. In our work, we consider data dependencies to propose a framework for optimizing query evaluation over distributed graph-oriented data sources. For this purpose, we propose an approach for the document indexing/orgranizing process of aggregated search systems. We consider information retrieval systems that are graph oriented (RDF graphs). Using graph relationships, our work is within relational aggregated search where relationships are used to aggregate fragments of information. Our goal is to optimize the access to source of information in a aggregated search system. These sources contain fragments of information that are relevant partially for the query. We aim at minimizing the number of sources to ask, also at maximizing the aggregation operations within a same source. For this, we propose to reorganize the graph database(s) in partitions, dedicated to aggregated queries. We use a semantic or strucutral clustering of RDF predicates. For structural clustering, we propose to use frequent subgraph mining algorithms, we performed for this, a comparative study of their performances. For semantic clustering, we use the descriptive metadata of RDF predicates and apply semantic textual similarity methods to calculate their relatedness. Following the clustering, we define query decomposing rules based on the semantic/structural aspects of RDF predicates
Yu, Francois T. H. "Paramétrisation de la rétrodiffusion ultrasonore érythrocytaire haute fréquence et pertinence comme facteur de risque de la thrombose veineuse." Thèse, 2009. http://hdl.handle.net/1866/3600.
Повний текст джерелаThe aggregation of erythrocytes is the main determinant of blood non Newtonian behaviour under low shearing flow conditions. When red blood cells (RBCs) aggregate, they form « rouleaux » and complex tridimensional structures that increase blood viscosity from a few mPa.s to a hundred mPa.s. The reversible RBC aggregation phenomenon is attributed to weak adhesive links between erythrocytes that are readily broken by increasing flow shearing. Blood bulk rheological properties have been comprehensively studied. However, the in vivo physiological impacts of abnormal clustering of RBCs are more difficult to assess. Clinical studies have identified altered hemorheology as a risk factor for thrombosis, but a clear etiological relationship between abnormal aggregation and thrombosis has not yet been established, in part because clinical conclusions were derived from correlative findings. It is to note that cardiovascular diseases such as deep venous thrombosis generally occur at specific locations within the vascular bed, suggesting a hemodynamic contribution to the development of this disease. Consequently, it is postulated that in vivo hemorheological characterization may help shed some light on the role of RBC hyper-aggregation on cardiovascular disorders. Ultrasound imaging, a non-invasive method relying on the propagation of mechanical waves within biological tissues, is sensitive to RBC aggregation. Indeed, the study of backscattered waves allows characterizing blood microstructure in vivo and in situ under physiological flow conditions. The work described in this thesis is based on prior simulation studies, performed at the Laboratory of Biorheology and Medical Ultrasonics of the University of Montreal Hospital Research Center, in which the backscattering of ultrasound from aggregating RBCs was modeled by considering a particle scattering strategy. In this approach, each RBC is a weak ultrasound scatterer (Born assumption) and the backscattering coefficient is modeled as the product of the RBC number density, the RBC backscattering cross section and a structure factor. This model relates variations in the backscattering coefficient to the RBC spatial organisation through the structure factor, which is the only parameter that changes during the aggregation process. A second order expansion in frequency of the structure factor was used to describe blood microstructure in terms of a packing factor W and an ensemble averaged aggregate diameter D. The model was first presented and validated by considering a homogenous shear flow condition using three broadband mono-element transducers. It was then extended in 2D to allow computation of parametric images in tube flow. An extrapolation based on the assumption that viscosity is related to the level of aggregation was used to compute local viscosity maps. Finally, a last contribution was the demonstration that a sudden increase in aggregation tendency directly promoted the formation of venous thrombosis in an experimental animal model. In that study, RBC aggregation, thrombus formation and flow variations were monitored longitudinally for two weeks using ultrasound. The results reported in this thesis suggest that rheological parameters on RBC clustering, ideally assessed in vivo and in situ, should be included in thrombosis risk profiling.