987 research outputs found
"Cronica der Turckey" Sebastian Franck's Translation of the "Tractatus de Moribus, Condicionibus et Nequitia Turcorum" by Georgius de Hungaria
Get PDFThe Tractatus de moribus, condicionibus et nequitia Turcorum is one of the most important first-hand accounts of life in fifteenth-century Turkey known to modern scholarship. It is the work of a Christian former slave of the Turks, writing after his return to the West. Although the author does not name himself, he can be identified as a
Dominican priest, Georgius de Hungaria, who died in Rome in 1502. His Tractatus is conceived as a work of anti-Islamic polemic, yet it contains a surprisingly unbiased appraisal of Turkish customs.
First printed c.1480 when European apprehension in the face of Ottoman expansion was at its height, the Tractatus was reprinted in numerous editions, and was widely used as a
source by other authors. Luther edited the text in 1530, using the positive account of Turkish customs and religious observance as a weapon in his polemic against the Roman
Catholic Church: if heathens could perform such exemplary works, who could fail to doubt the efficacy of works as a means of salvation?
Sebastian Franck in his German translation of the Tractatus went further: replacing Georgius' commentary with his own, he used the text to attack institutional religion as a
whole and to promote his concept of a non-dogmatic, spiritual Church of individuals united with each other only through their union with God -a Church which was not closed to Moslems or members of any other creed. This translation or adaptation, the Cronica der Türckey, marks Franck's decisive break with the Lutheran cause and the beginning of his lonely path as a 'spiritual individualist'. Franck reworked his translation of the Tractatus for his major geographical work, the Weltbuch of 1534.
This thesis concerns itself primarily with Franck's Cronica, providing the first modern critical edition of this text, in a near-diplomatic transcription with an extensive glossary. The thesis also includes transcriptions of the Tractatus; of Türckei, an anonymous translation of the Tractatus, and of relevant additional material from Franck's Weltbuch. None of these texts has been published in full in a modern edition.
In the Introduction Franck's Cronica is compared in detail with the Tractatus, highlighting the changes that occur in translation; the character and the significance of these changes are then discussed. It is established that Franck, whilst being unwilling to reverse any of Georgius' value judgements on Islam and Turkish culture, is highly selective in his choice of material for translation, and frequently gives the text new nuances and adds his own
comment. The question of the Tractatus' influence on Franck's further development as a writer and thinker is also raised.
The investigation then turns to Franck's use of the Tractatus material in his Weltbuch. His eclecticism becomes apparent in this text, in which Georgius' account is juxtaposed - but not synthesised - with material from other sources, often of lesser veracity and greater anti-Islamic bias. Franck's distortion of the Tractatus material to suit his own line of argument is clearly discernible: from the unique phenomenon presented in the Tractatus the Turks
become one more example of the general human tendency to externalise and dogmatise faith.
In addition, the transmission of Cronica and Türckei is examined, and the relationship between these two translations is clarified: Franck certainly used Türckei in writing his Cronica, but is unlikely to be the author of the anonymous work
On the role of satellite communications for emergency situations with a focus on Europe
No full textInternational audienceIn this paper, we describe how satellite communications may contribute to disaster management. During emergency situations, satellite communications present many advantages in supporting or replacing a terrestrial infrastructure (if any) subject to destruction or saturation. However, devising the right deployment model deserves close scrutiny in order to fit the responders needs and sustain financial viability. After reading the paper, we expect that the answers to the following questions will be made clear: what are the roles of telecommunications in emergency situations? How can satellite technologies help? How to mitigate the cost of deploying and using satellite facilities? Who are the actors currently involved in emergency telecommunications and more specifically satellite-assisted emergency telecommunications
Les Grains de santé du Dr Franck. Du remède secret à la spécialité
No full textThe Grains de santé du Dr Franck. From secret remedy to patent medicine.
After a short history of secrets remedies, the author presents the "Grains de santé du Dr Franck". She tells about their compound and indications, about their owner (Dr Audin-Rouvière) and its misunderstandings with the medical Academy because of the name of "Dr Franck". Finally, the author presents the evolution of this secret remedy to a patent medicine, sold buy Troncin laboratory.Après un bref rappel de l'histoire des remèdes secrets, l'auteure présente « Les Grains de santé du Dr Franck » : leurs composition et indication, leur propriétaire le Dr Audin-Rouvière, ses démêlés avec l'Académie de médecine au sujet du nom du Dr Franck, et enfin l'évolution du remède secret vers la spécialité vendue par le laboratoire Troncin.Raynal Cécile. Les Grains de santé du Dr Franck. Du remède secret à la spécialité. In: Revue d'histoire de la pharmacie, 95ᵉ année, n°359, 2008. pp. 263-274
Estimation multimodale du mouvement et de la profondeur basée sur les évènements pour l'analyse de scène
No full textGrâce à leurs propriétés uniques en termes d’asynchronisme et d’indépendance aux conditions de luminosités, les caméras à évènements ouvrent aujourd’hui de nouvelles portes dans le monde de la perception. Elles rendent possible l’analyse de scènes hautement dynamiques et avec un éclairage complexe, des situations pour lesquelles les caméras traditionnelles reposant sur des images montrent leurs limites. Dans le cadre de cette thèse, deux tâches de perception bas niveau ont été considérées en particulier, car constituant la fondation de nombreuses tâches de plus haut niveau requises pour l’analyse de scènes : (1) le flot optique et (2) l’estimation de profondeur. En ce qui concerne le flot optique, une approche basée optimisation a été développée, permettant l’estimation de flot optique en temps réel avec une unique caméra à évènements haute définition. Pour cela, de courtes fenêtres temporelles d’évènements sont converties vers une représentation dense basée image, après application d’une étape de débruitage, et d’une densification inversement exponentielle proposée dans le cadre de ce travail. Une méthode de flot optique de l’état de l’art basée images est ensuite appliquée afin de calculer le flot optique final avec une latence basse. Cette approche heuristique permet de fournir des résultats justes, et est à ce jour la seule méthode de flot optique basée évènements capable d’opérer en temps réel avec des caméras à évènements haute définition. Pour ce qui est de l’estimation de profondeur, une méthode basée apprentissage pour de la fusion de données a été proposée, permettant de combiner les informations provenant d’un LiDAR et d’une caméra à évènements afin d’estimer des cartes de profondeur denses. Dans le cadre de ce travail, un réseau de neurones à convolution, appelé ALED, a été proposé. Il est composé de deux branches d’encodage asynchrones pour les nuages de points LiDAR et les évènements, de mémoires centrales où la fusion asynchrone des deux types de données est réalisée, et d’une branche de décodage. En particulier, une nouvelle notion de “deux profondeurs par évènement” a également été proposée, accompagnée d’une analyse théorique sur l’importance fondamentale de cette notion à cause du fait que les évènements soient indicatifs d’un changement. Enfin, un jeu de données enregistré en simulation a également été proposé, contenant des données LiDAR et évènements haute définition, ainsi que des cartes de profondeur servant de vérité terrain. En comparaison avec l’état de l’art, une réduction jusqu’à 61% de l’erreur moyenne a pu être atteinte, démontrant la qualité de notre réseau et des bénéfices apportés par l’utilisation de notre nouveau jeu de données. Une extension de ce travail sur l’estimation de profondeur a également été proposée, utilisant cette fois-ci un réseau de neurones basé attention pour une meilleure modélisation des relations spatiales et temporelles entre les données LiDAR et évènements. Des expérimentations ont été menées dans un premier temps dans l’objectif de proposer un réseau entièrement épars, capable d’associer directement à chaque évènement ses deux profondeurs, sans avoir besoin de passer par des représentations denses. À cause de limitations à la fois théoriques et techniques, une refonte de cette méthode a été proposée, cette fois-ci sur des entrées et sorties denses, afin de pouvoir s’affranchir de ces limitations. Le réseau final proposé dans le cadre de ce travail, DELTA, combine à la fois un aspect récurrent et une approche basée attention. Il est composé de deux branches d’encodage pour les nuages de points LiDAR et les évènements, d’un mécanisme de propagation afin d’être capable d’inférer les données LiDAR a une plus haute fréquence que celle d’entrée, d’une unique mémoire centrale pour la fusion des modalités, et d’une branche de décodage. En comparaison avec ALED, DELTA améliore les résultats pour l’ensemble des métriques considérées.With their asynchrony and independence to illumination conditions, event cameras open new perception capabilities. They allow for the analysis of highly dynamic scenes with complex lighting, a situation in which traditional framebased cameras show their limits. In the context of this thesis, two low-level perception tasks were examined in particular, as they constitute the foundation of many higher level tasks required for scene analysis: (1) optical flow and (2) depth estimation. In the case of optical flow, an optimization-based approach was developed,allowing for the estimation of optical flow in real-time with a single highresolution event camera. Short temporal windows of events are converted into frame-like representations, with denoising and with a novel negated exponential densification applied. A state-of-the-art low-latency frame-based optical flow method is then used to compute the final optical flow. This heuristic approach provides accurate results, and is still to this day the only event-based optical flow method working in real-time with high-resolution event cameras. As for the depth estimation, a learning-based data-fusion method between a LiDAR and an event camera was proposed for estimating dense depth maps. For that purpose, a convolutional neural network was proposed, named ALED. It is composed of two separate asynchronous encoding branches for the LiDAR point clouds and for the events, central memory units where the asynchronous fusions are applied, and a final decoding branch. A novel notion of “two depths per event” was also proposed, with a theoretical analysis as to why this notion is fundamental given the change-based nature of events. A simulated dataset was finally proposed, containing high-resolution LiDAR and event data, as well as perfect depth maps used as ground truth. Compared to the state of the art, an error reduction of up to 61% was achieved, demonstrating the quality of the network and the benefits brought by the use of our novel dataset. An extension to this depth estimation work was also proposed, this time using an attention-based network for a better modeling of the spatial and temporal relations between the LiDAR and the event data. Initial experiments were conducted on a fully sparse network, able to directly output the two depths for each event without relying on a dense representation, but both theoretical and technical limitations were met. A subsequent rework of the method, this time on dense inputs and outputs, allowed us to overcome these limitations. The proposed network, DELTA, is both recurrent and attention-based. It is composed of two encoding branches for the LiDAR point clouds and the events, a propagation mechanism for inferring LiDAR data at a higher rate, a central memory unit where the fusion between the two modalities is applied, and a final decoding branch. Compared to ALED, DELTA is able to improve results across all metrics, and especially for short ranges (which are the most criticalfor robotic applications), where the average error is reduced up to four times
Effect of gravity on clustering patterns and inertial particles attractors
No full textIn this contribution we study the clustering of inertial particles using a periodic kinematic simulation. The systematic Lagrangian tracking of particles makes it possible to identify the particles’ clustering patterns for different values of particle’s inertia and drift velocity. The different cases are characterised by different pairs of Stokes number St and drift parameter ϒ. For the present study 0 ≤ St ≤ 1 and 0 ≤ ϒ ≤ 2. The main focus is to identify and then quantify the clustering attractor - when it exists - that is the set of points in the physical space where the particles settle when time goes to infinity. Depending on gravity or drift effect and inertia values, the Lagrangian attractor can have different dimensions varying from the initial three-dimensional space to two-dimensional layers and one-dimensional attractors that can be shifted from an horizontal to a vertical position
ASSIGNING COMPLEX VIBRATION-TUNNELING SPECTRA USING FRANCK-CONDON FINGERPRINTS
No full textAuthor Institution: Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Il 61801We propose Franck-Condon fingerprinting as a method to assign complex vibration-tunneling spectra. The electronic excited state of Thiophosgene () is our prototype case. Assignment of its spectrum has proven to be difficult because large tunneling splittings and near-degenerate vibrational frequencies. The dispersed fluorescence spectrum of each unkown vibration-tunneling state reveals its wavefunction character onto the known vibrational progressions in the ground states. This Franck-Condon fingerprint allows us to assign several vibration-tunneling states of in the electronic excited state. These assigned transitions could be fitted by an effective vibration-tunneling Hamiltonian within measurement uncertainty
100 ans après Le rituel du serpent d’Aby Warburg
No full textParis : 21 avril 2023 18h30. Cent ans après le 21 avril 1923, rencontre avec les psychanalystes Françoise Davoine et Franck Ancel au café Sigmund de la Maison de l’Amérique latine. Précédée à 18h30 d'une visite de l'exposition L'ombre de Saturne commentée par l'artiste Eugenio Tellez. Lors de cette soirée des extraits sur Le Rituel du Serpent. Récit d’un voyage en pays pueblo, la conférence d’Aby Warburg seront lus à partir de l’ouvrage paru aux éditions Macula pour nous ouvrir à une mémoire ..
Social Alienation and Gendered Surveillance: Julia Franck Observes Post-\u3cem\u3eWende\u3c/em\u3e Society
No full textBorn in East Berlin in 1970, author Julia Franck has published four works, in which once can trace her critique of social alienation in post-Wende German society.1 Franck\u27s project employs unreliable first-person narrators who believe that their acts of gendered surveillance will give them access to symbolic and social capital, which these narrators lack, in the vacuum of meaningful relationships in which they find themselves in contemporary Germany. Examples of the desired symbolic capital include honor, prestige, and having a voice to which others listen, and the sought-after social capital consists of networks, reciprocal connections, and trust.2 But this analysis also leads to Franck\u27s more complex and subtle critique of post-Wende indifference to Vergangenheitsbewältigung, or coming to terms with the past, which one finds in two narrators\u27 offhand, almost unremarked (but quite remarkable) references to Germany\u27s past
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