Histoire des premiers siècles de l'église chrétienne,

Mode of access: Internet.

Histoire artistique de la cathédrale de Cambrai, ancienne église métropolitaine Notre-Dame.

Mode of access: Internet.

"Per aurem intrat Christus in Mariam". Aproximación iconográfica a la "conceptio per aurem" en la pintura italiana del Trecento desde fuentes patrísticas y teológicas

La tesis mariológica de la conceptio per aurem, según la cual la Virgen María habría concebido a Jesucristo por el oído en el momento de escuchar del ángel el mensaje celestial anunciándole que, sin perder su virginidad, sería madre del Hijo de Dios encarnado, ha merecido hasta ahora muy pocos estudios académicos rigurosamente fundados en fuentes primarias. De hecho, en la literatura especializada son muy escasas las referencias a tal teoría y, cuando algún estudioso la evoca, casi siempre se contenta con aludir a ella, sin aportar pruebas documentales. Sin embargo, tal como lo revelan las nueve pinturas italianas aquí analizadas, esa teoría fue ilustrada mediante sutiles metáforas visuales en muchas obras pictóricas medievales, las cuales se inspiraron en una sólida tradición literaria. Además una pléyade de Padres de la Iglesia y teólogos medievales testimonia, mediante afirmaciones explícitas, que semejante teoría gozó de notable aceptación entre los maestros del pensamiento cristiano. Basándose en numerosos textos patrísticos y teológicos, este artículo intenta dos objetivos esenciales: exponer, ante todo, las distintas formulaciones teóricas propuestas por esos pensadores; y además, tratar de poner en luz los significados dogmáticos que subyacen bajo esa sorprendente tesis.

A hidden Markov model and relative entropy rate approach to vision-based dim target detection for UAV sense-and-avoid

Uninhabited aerial vehicles (UAVs) are a cutting-edge technology that is at the forefront of aviation/aerospace research and development worldwide. Many consider their current military and defence applications as just a token of their enormous potential. Unlocking and fully exploiting this potential will see UAVs in a multitude of civilian applications and routinely operating alongside piloted aircraft. The key to realising the full potential of UAVs lies in addressing a host of regulatory, public relation, and technological challenges never encountered be- fore. Aircraft collision avoidance is considered to be one of the most important issues to be addressed, given its safety critical nature. The collision avoidance problem can be roughly organised into three areas: 1) Sense; 2) Detect; and 3) Avoid. Sensing is concerned with obtaining accurate and reliable information about other aircraft in the air; detection involves identifying potential collision threats based on available information; avoidance deals with the formulation and execution of appropriate manoeuvres to maintain safe separation. This thesis tackles the detection aspect of collision avoidance, via the development of a target detection algorithm that is capable of real-time operation onboard a UAV platform. One of the key challenges of the detection problem is the need to provide early warning. This translates to detecting potential threats whilst they are still far away, when their presence is likely to be obscured and hidden by noise. Another important consideration is the choice of sensors to capture target information, which has implications for the design and practical implementation of the detection algorithm. The main contributions of the thesis are: 1) the proposal of a dim target detection algorithm combining image morphology and hidden Markov model (HMM) filtering approaches; 2) the novel use of relative entropy rate (RER) concepts for HMM filter design; 3) the characterisation of algorithm detection performance based on simulated data as well as real in-flight target image data; and 4) the demonstration of the proposed algorithm's capacity for real-time target detection. We also consider the extension of HMM filtering techniques and the application of RER concepts for target heading angle estimation. In this thesis we propose a computer-vision based detection solution, due to the commercial-off-the-shelf (COTS) availability of camera hardware and the hardware's relatively low cost, power, and size requirements. The proposed target detection algorithm adopts a two-stage processing paradigm that begins with an image enhancement pre-processing stage followed by a track-before-detect (TBD) temporal processing stage that has been shown to be effective in dim target detection. We compare the performance of two candidate morphological filters for the image pre-processing stage, and propose a multiple hidden Markov model (MHMM) filter for the TBD temporal processing stage. The role of the morphological pre-processing stage is to exploit the spatial features of potential collision threats, while the MHMM filter serves to exploit the temporal characteristics or dynamics. The problem of optimising our proposed MHMM filter has been examined in detail. Our investigation has produced a novel design process for the MHMM filter that exploits information theory and entropy related concepts. The filter design process is posed as a mini-max optimisation problem based on a joint RER cost criterion. We provide proof that this joint RER cost criterion provides a bound on the conditional mean estimate (CME) performance of our MHMM filter, and this in turn establishes a strong theoretical basis connecting our filter design process to filter performance. Through this connection we can intelligently compare and optimise candidate filter models at the design stage, rather than having to resort to time consuming Monte Carlo simulations to gauge the relative performance of candidate designs. Moreover, the underlying entropy concepts are not constrained to any particular model type. This suggests that the RER concepts established here may be generalised to provide a useful design criterion for multiple model filtering approaches outside the class of HMM filters. In this thesis we also evaluate the performance of our proposed target detection algorithm under realistic operation conditions, and give consideration to the practical deployment of the detection algorithm onboard a UAV platform. Two fixed-wing UAVs were engaged to recreate various collision-course scenarios to capture highly realistic vision (from an onboard camera perspective) of the moments leading up to a collision. Based on this collected data, our proposed detection approach was able to detect targets out to distances ranging from about 400m to 900m. These distances, (with some assumptions about closing speeds and aircraft trajectories) translate to an advanced warning ahead of impact that approaches the 12.5 second response time recommended for human pilots. Furthermore, readily available graphic processing unit (GPU) based hardware is exploited for its parallel computing capabilities to demonstrate the practical feasibility of the proposed target detection algorithm. A prototype hardware-in- the-loop system has been found to be capable of achieving data processing rates sufficient for real-time operation. There is also scope for further improvement in performance through code optimisations. Overall, our proposed image-based target detection algorithm offers UAVs a cost-effective real-time target detection capability that is a step forward in ad- dressing the collision avoidance issue that is currently one of the most significant obstacles preventing widespread civilian applications of uninhabited aircraft. We also highlight that the algorithm development process has led to the discovery of a powerful multiple HMM filtering approach and a novel RER-based multiple filter design process. The utility of our multiple HMM filtering approach and RER concepts, however, extend beyond the target detection problem. This is demonstrated by our application of HMM filters and RER concepts to a heading angle estimation problem.

Some aspects of information processing in biological vision

An attempt is made to present some challenging problems (mainly to the technically minded researchers) in the development of computational models for certain (visual) processes which are executed with, apparently, deceptive ease by the human visual system. However, in the interest of simplicity (and with a nonmathematical audience in mind), the presentation is almost completely devoid of mathematical formalism. Some of the findings in biological vision are presented in order to provoke some approaches to their computational models, The development of ideas is not complete, and the vast literature on biological and computational vision cannot be reviewed here. A related but rather specific aspect of computational vision (namely, detection of edges) has been discussed by Zucker, who brings out some of the difficulties experienced in the classical approaches.Space limitations here preclude any detailed analysis of even the elementary aspects of information processing in biological vision, However, the main purpose of the present paper is to highlight some of the fascinating problems in the frontier area of modelling mathematically the human vision system.

“The new Cagliostro”: Onofroff, Rubén Darío and his story "La esfinge"

The article retraces the career of the famous hypnotist Onofroff and particularly his visit to Buenos Aires, where his activity, in 1895, provoked many discussions and some public embarrassment. In this context Darío, using a pseudonym, published his crónica “La esfinge”. We reproduce “La esfinge”, transcribing the original text of La Nación, with annotations identifying the literary and theosophical sources Darío used when he wrote it.

Histoire, littérature et subversion dans Le Bulletin des agriculteurs (1940-1959)

Le Bulletin des agriculteurs existe depuis 1918 et a eu une incidence considérable sur la population rurale du Québec.Le présent mémoire porte sur la subversion dans douze récits fantastiques publiés dans la revue entre 1940 et 1959. Ce mémoire est divisé en trois chapitres distincts.Le premier relate la petite histoire de la revue. À ses débuts, en 1918,Le Bulletin des agriculteurs est une revue purement agricole qui n'a d'autre but que celui d'informer ses abonnés. Mais dès 1936, la revue adopte le style revue et apporte à ses nombreux lecteurs, en plus de l'information générale, des chroniques féminines, des articles humoristiques et des récits de fiction. Ce sont ces derniers qui sont à l'origine de ce mémoire.Le deuxième chapitre insistera sur l'aspect théorique de l'étude. Dans un premier temps, nous avons fait la typologie de tous les récits de fiction parus dans la revue entre 1934 et 1984 les classant par genre et par sous-genre. Dans un deuxième temps, nous avons étudié le fantastique et son potentiel subversif. Enfin, dans un troisième temps, nous avons identifié l'idéologie qui prévalait au Québec rural dans les années quarante et cinquante.Le troisième chapitre est consacré exclusivement à la recherche de subversion dans les douze contes fantastiques sélectionnés afin d'en faire une lecture sociocritique.

A arte na igreja do Convento de Santa Maria do Carmo de Lisboa,1389/1755: contributos para o seu estudo cripto-histórico

Tese de mestrado, Arte, Património e Teoria do Restauro, Universidade de Lisboa, Faculdade de Letras, 2010

Collection des cartulaires de France ; 4-7. Cartulaire de l'église Notre-Dame de Paris. Série 1,Tome 2 / publ. par M. Guérard,... ; avec la collab. de MM. Géraud, Marion et Deloye

[Cartulaire. Paris, Cathédrale Notre-Dame. 1850]

Collection des cartulaires de France ; 4-7. Cartulaire de l'église Notre-Dame de Paris. Tome 4,Tome 1,Tome 4 / publ. par M. Guérard,... ; avec la collab. de MM. Géraud, Marion et Deloye

[Cartulaire. Paris, Cathédrale Notre-Dame. 1850]

Le Maroc catholique... Organe mensuel du catholicisme au Maroc

1937/02 (VOL17,N2).