Dans cette thèse, nous nous intéressons aux réseaux de communications optiques avec d'une part des réseaux en espace libre optique et d'autre part des réseaux à fibres optiques.<br /><br />Dans un premier temps, nous étudions l'implantation en espace libre optique de réseaux de communications à l'aide de l'architecture OTIS (Optical Transpose Interconnection System), proposé dans [MMHE93]. Nous proposons une modélisation de ces réseaux par les graphes H(p,q,d) que nous cherchons ensuite à caractériser. Nous étudions en particulier les isomorphismes entre ces graphes et des graphes connus (de Bruijn, Kautz et autres graphes à alphabet). Nous développons une famille de graphes à alphabet contenant de nombreux graphes isomorphes au de Bruijn, que nous utilisons pour obtenir une implantation optimale, au sens de la minimisation du nombre de lentilles, du de Bruijn avec OTIS. Nous étudions aussi une famille de réseaux modélisés par des hypergraphes orientés, appelées stack-Kautz, pour laquelle nous donnons un algorithme de routage et des protocoles de contrôles.<br /><br />Dans un deuxième temps, nous nous intéressons au problème de la sécurisation par protection dans les réseaux WDM, qui consiste à utiliser des ressources prédéterminées et dédiées pour assurer la continuité du trafic lors de la rupture d'un faisceau de fibres dans le réseau. Nous décrivons de nombreuses stratégies de protection de l'instance et du réseau. Nous étudions plus particulièrement la protection par sous-réseaux qui consiste au partage de ressources de protection par un ensemble de requêtes formant un sous-réseau particulier (circuit). Nous donnons une solution optimale au problème de la protection par sous-réseaux dans le cas où le réseau est un cycle et les requêtes représentent un échange total.

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<p>The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate respiratory mechanics during mechanical ventilation (MV). ANNs are universal function approximators and can extract information from complex signals. </p><p>We evaluated, in an animal model of acute lung injury, whether ANN can assess respiratory system resistance (R_RS) and compliance (C_RS) using the tracings of pressure at airways opening (P_AW), inspiratory flow (V’) and tidal volume, during an end-inspiratory hold maneuver (EIHM). We concluded that ANN can estimate C_RS and R_RS during an EIHM. We also concluded that the use of tracings obtained by non-biological models in the learning process has the potential of substituting biological recordings.</p><p>We investigated whether ANN can extract C_RS using tracings of P_AW and V’, without any intervention of an inspiratory hold maneuver during continuous MV. We concluded that C_RS can be estimated by ANN during volume control MV, without the need to stop inspiratory flow.</p><p>We tested whether ANN, fed by inspiratory P_AWand V’, are able to measure static total positive end-expiratory pressure (PEEP_tot,stat) during ongoing MV. In an animal model we generated dynamic pulmonary hyperinflation by shortening expiratory time. Different levels of external PEEP (PEEP_APP) were applied. Results showed that ANN can estimate PEEP_tot,stat reliably, without any influence from the level of PEEP_APP.</p><p>We finally compared the robustness of ANN and multi-linear fitting (MLF) methods in extracting C_RS when facing signals corrupted by perturbations. We observed that during the application of random noise, ANN and MLF maintain a stable performance, although in these conditions MLF may show better results. ANN have more stable performance and yield a more robust estimation of C_RS than MLF in conditions of transient sensor disconnection.</p><p>We consider ANN to be an interesting technique for the assessment of respiratory mechanics.</p>

The aim of this thesis was to test the capability of Artificial Neural Networks (ANN) to estimate respiratory mechanics during mechanical ventilation (MV). ANNs are universal function approximators and can extract information from complex signals. We evaluated, in an animal model of acute lung injury, whether ANN can assess respiratory system resistance (RRS) and compliance (CRS) using the tracings of pressure at airways opening (PAW), inspiratory flow (V’) and tidal volume, during an end-inspiratory hold maneuver (EIHM). We concluded that ANN can estimate CRS and RRS during an EIHM. We also concluded that the use of tracings obtained by non-biological models in the learning process has the potential of substituting biological recordings. We investigated whether ANN can extract CRS using tracings of PAW and V’, without any intervention of an inspiratory hold maneuver during continuous MV. We concluded that CRS can be estimated by ANN during volume control MV, without the need to stop inspiratory flow. We tested whether ANN, fed by inspiratory PAW and V’, are able to measure static total positive end-expiratory pressure (PEEPtot,stat) during ongoing MV. In an animal model we generated dynamic pulmonary hyperinflation by shortening expiratory time. Different levels of external PEEP (PEEPAPP) were applied. Results showed that ANN can estimate PEEPtot,stat reliably, without any influence from the level of PEEPAPP. We finally compared the robustness of ANN and multi-linear fitting (MLF) methods in extracting CRS when facing signals corrupted by perturbations. We observed that during the application of random noise, ANN and MLF maintain a stable performance, although in these conditions MLF may show better results. ANN have more stable performance and yield a more robust estimation of CRS than MLF in conditions of transient sensor disconnection. We consider ANN to be an interesting technique for the assessment of respiratory mechanics.

This dissertation constructs a cultural history of women's performances in Boston from 1762-1823, using materialist feminism and ethnohistory. I look at how "woman" was historically understood at that time, and how women used those discourses to their advantage when constructing performances that allowed them to intervene in political culture. I examine a broad range of performance activities from white, black, and Native American women of all classes. Chapter two discusses three of Boston's elite female intellectuals: Mercy Otis Warren, Judith Sargent Murray, and Sarah Wentworth Apthorp Morton. Though each woman's writings have been examined individually, I examine them as a community. With the connections and public recognition they built, they helped found the Federal Street Theatre where they could have a ventrioloquized embodied performance for their ideas on women's rights, abolition, and political parties. Chapter three looks at the construction of three solo performances: Phillis Wheatley performing her poetry in 1772; the 1802 theatre tour of Deborah Sampson Gannett, who fought as a man in the revolution; and the monologues and wax effigy creations of Patience Lovell Wright circa 1772. These women depended on their performances for sustenance, and in Wheatley's case, to secure her freedom from bondage. I look at the way these women created a mythology about themselves and crafted a marketable image, both on and off the stage. In particular, I examine the ways each grappled with a charged discourse surrounding their bodies. In chapter four I look at fashion as performance. I explore homespun dresses as political propaganda, Native American and black women's use of clothing to express cultural pride that white Anglo society had attempted to erase, and the way that women used mourning costumes to perform and create nationalism at the mock funerals held for Washington after he died in 1799. In my conclusion I contrast the 2008 miniseries John Adams with a solo performance of Phillis Wheatley. I briefly trace the trajectory of the history of women during this time. I argue that focusing on performance identifies and legitimizes other sources of evidence and locates examples of women's agency in shaping popular culture. / text