768 resultados para Matériel reconfigurable


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[Vente (Art). 1846-03-05. Paris]

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Résumé: L’objectif général de la thèse était de caractériser les déficits de reconnaissance mnésique dans la maladie d’Alzheimer et le trouble cognitif léger. La thèse comprend trois articles. Le premier article propose une recension des écrits portant sur les déficits cognitifs dans le trouble cognitif léger, alors que les deux articles suivants rapportent les résultats d’études expérimentales portant sur la reconnaissance. Le but de la première étude empirique était d’évaluer l’impact du type de matériel sur la reconnaissance à long terme et la reconnaissance à court terme dans la maladie d’Alzheimer en comparant l’atteinte pour des stimuli verbaux et musicaux. Nos analyses de groupe ont révélé que les atteintes des personnes avec maladie d’Alzheimer s’étendaient à toutes les épreuves et que les déficits étaient d’une ampleur comparable en reconnaissance musicale et verbale. Les analyses corrélationnelles appuient, bien que partiellement, une certaine spécificité d’atteintes par domaine, particulièrement en reconnaissance à long terme, mais suggèrent également que les deux domaines puissent partager certains mécanismes. L’objectif de la seconde étude était de caractériser les processus utilisés en reconnaissance dans le vieillissement normal et le trouble cognitif léger en fonction de la nouveauté et du type de matériel. L’étude évaluait la recollection et la familiarité à l’aide de la méthode remember/know. Les tâches étaient composées d’items connus et d’items nouveaux faisant partie du domaine verbal ou du domaine musical. Les résultats ont révélé que la recollection était atteinte dans le vieillissement normal et le trouble cognitif léger, mais uniquement pour la reconnaissance de stimuli connus, ce qui est compatible avec le fait que les deux groupes ont de la difficulté à encoder l’information de façon élaborée. D’autre part, la familiarité était compromise dans le vieillissement normal, sans impact additionnel du trouble cognitif léger, et seulement pour la reconnaissance de stimuli inconnus. Cette atteinte peut être associée aux difficultés des aînés dans les tâches d’amorçage perceptif impliquant des items inconnus. Les résultats découlant de ces études s’avèrent pertinents dans une perspective clinique, en plus de pouvoir contribuer à certaines questions d’ordre théorique.

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La recherche du premier chapitre de ce mémoire a été menée en collaboration avec les co-chercheurs suivants: Catherine Olivier et Michel Bergeron.

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Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

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Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

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A new design for a compact electronically reconffgurable singlefeed dual frequency dual-polarized operation of a square-microstrip antenna capable of achieving tunable frequency ratios in the range 1.1 to 1.37 is proposed and experimentally studied. Varactor diodes inlegruted with the arms of the hexagonal slot and embedded in the square patch are used to tune the operating frequencies by applying reverse-bias voltage. The design has the advantage of size reduction up to 73.21% and 49.86% for the two resonant frequencies, respectively, as compared to standard rectangular patches. The antenna offers good bandwidth of 5.74% and 5.36% for the two operating frequencies. A highly simplified tuning circuitry without any transmission lines adds to the compactness of the design

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A novel design of a computer electronically reconfigurable dual frequency dual polarized single feed hexagonal slot loaded microstrip antenna in L-band is introduced in this chapter. pin diodes are used to switch the operating frequencies considerably without much affecting the radiation characteristics and gain. the antenna can work with a frequency ratio varying in the wide range from 1.2 to 1.4. the proposed design has an added advantage of size reduction up to 72.21% and 46.84% for the two resonating frequencies compared to standard rectangular patches. the design also gives considerable bandwidth of up to 2.82% and 2.42 % for the operating frequencies.

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The design of a compact, single feed, dual frequency dual polarized and electronically reconfigurable microstrip antenna is presented in this paper. A square patch loaded with a hexagonal slot having extended slot arms constitutes the fundamental structure of the antenna. The tuning of the two resonant frequencies is realized by varying the effective electrical length of the slot arms by embedding varactor diodes across the slots. A high tuning range of 34.43% (1.037–1.394 GHz) and 9.27% (1.359–1.485 GHz) is achieved for the two operating frequencies respectively, when the bias voltage is varied from 0 to −30 V. The salient feature of this design is that it uses no matching networks even though the resonant frequencies are tuned in a wide range with good matching below −10 dB. The antenna has an added advantage of size reduction up to 80.11% and 65.69% for the two operating frequencies compared to conventional rectangular patches.

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A new electronically reconfigurable dual frequency microstrip patch antenna with highly simplified varactor tuning circuitry is presented. The proposed design allows relatively independent selection of the two operating frequencies. Tuning ranges of 7.1 and 4.1% are realised for the two resonant frequencies without the use of any matching circuits.

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In this work,we investigate novel designs of compact electronically reconfigurable dual frequency microstrip antennas with a single feed,operating mainly in L-band,without using any matching networks and complicated biasing circuitry.These antennas have been designed to operate in very popular frequency range where a great number of wireless communication applications exist.Efforts were carried out to introduce a successful,low cost reconfigurable dual-frequency microstrip antenna design to the wireless and radio frequency design community.

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General-purpose computing devices allow us to (1) customize computation after fabrication and (2) conserve area by reusing expensive active circuitry for different functions in time. We define RP-space, a restricted domain of the general-purpose architectural space focussed on reconfigurable computing architectures. Two dominant features differentiate reconfigurable from special-purpose architectures and account for most of the area overhead associated with RP devices: (1) instructions which tell the device how to behave, and (2) flexible interconnect which supports task dependent dataflow between operations. We can characterize RP-space by the allocation and structure of these resources and compare the efficiencies of architectural points across broad application characteristics. Conventional FPGAs fall at one extreme end of this space and their efficiency ranges over two orders of magnitude across the space of application characteristics. Understanding RP-space and its consequences allows us to pick the best architecture for a task and to search for more robust design points in the space. Our DPGA, a fine- grained computing device which adds small, on-chip instruction memories to FPGAs is one such design point. For typical logic applications and finite- state machines, a DPGA can implement tasks in one-third the area of a traditional FPGA. TSFPGA, a variant of the DPGA which focuses on heavily time-switched interconnect, achieves circuit densities close to the DPGA, while reducing typical physical mapping times from hours to seconds. Rigid, fabrication-time organization of instruction resources significantly narrows the range of efficiency for conventional architectures. To avoid this performance brittleness, we developed MATRIX, the first architecture to defer the binding of instruction resources until run-time, allowing the application to organize resources according to its needs. Our focus MATRIX design point is based on an array of 8-bit ALU and register-file building blocks interconnected via a byte-wide network. With today's silicon, a single chip MATRIX array can deliver over 10 Gop/s (8-bit ops). On sample image processing tasks, we show that MATRIX yields 10-20x the computational density of conventional processors. Understanding the cost structure of RP-space helps us identify these intermediate architectural points and may provide useful insight more broadly in guiding our continual search for robust and efficient general-purpose computing structures.

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En l’actualitat, l’electrònica digital s’està apoderant de la majoria de camps de desenvolupament, ja que ofereix un gran ventall de possibilitats que permeten fer front a gran quantitat de problemàtiques. Poc a Poc s’ha anat prescindint el màxim possible de l’electrònica analògica i en el seu lloc s’han utilitzat sistemes microprocessats, PLDs o qualsevol altre dispositiu digital, que proporciona beneficis enlluernadors davant la fatigosa tasca d’implementar una solució analògica. Tot i aquesta tendència, és inevitable la utilització de l’electrònica analògica, ja que el mon que ens envolta és l’entorn en el que han de proporcionar servei els diferents dissenys que es realitzen, i aquest entorn no és discret sinó continu. Partint d’aquest punt ben conegut hem de ser conscients que com a mínim els filtres d’entrada i sortida de senyal juntament amb els convertidors D/A A/D mai desapareixeran. Així doncs, aquests circuits analògics, de la mateixa forma que els digitals, han de ser comprovats un cop dissenyats, és en aquest apartat on el nostre projecte desenvoluparà un paper protagonista, ja que serà la eina que ha de permetre obtenir les diferents senyals característiques d’un determinat circuit, per posteriorment realitzar els tests que determinaran si es compleix el rang de correcte funcionament, i en cas de no complir, poder concretar quin paràmetre és el causant del defecte

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This paper proposes the deployment of a neural network computing environment on Active Networks. Active Networks are packet-switched computer networks in which packets can contain code fragments that are executed on the intermediate nodes. This feature allows the injection of small pieces of codes to deal with computer network problems directly into the network core, and the adoption of new computing techniques to solve networking problems. The goal of our project is the adoption of a distributed neural network for approaching tasks which are specific of the computer network environment. Dynamically reconfigurable neural networks are spread on an experimental wide area backbone of active nodes (ABone) to show the feasibility of the proposed approach.

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We advocate the use of systolic design techniques to create custom hardware for Custom Computing Machines. We have developed a hardware genetic algorithm based on systolic arrays to illustrate the feasibility of the approach. The architecture is independent of the lengths of chromosomes used and can be scaled in size to accommodate different population sizes. An FPGA prototype design can process 16 million genes per second.