238 research outputs found
Alien Registration- Beauchene, Madore (Lewiston, Androscoggin County)
https://digitalmaine.com/alien_docs/30437/thumbnail.jp
Alien Registration- Beauchene, Exelia (Lewiston, Androscoggin County)
https://digitalmaine.com/alien_docs/29831/thumbnail.jp
Etude et localisation de défauts dans les circuits intégrés par stimulation photoélectrique laser
Ce travail se situe dans le contexte général du développement de nouvelles techniques de test sans contact de circuits intégrés VLSI à partir d'un laser impulsionnel. Cette thèse s'intéresse plus particulièrement au développement de la Stimulation Photoélectrique Laser pour la localisation de défauts sub-micrométriques dans les zones conductrices d'un circuit intégré. En complément du développement instrumental, une étude de l'interaction laser impulsionnel semi- conducteur est menée à l'aide de simulations numériques. La méthodologie développée dans ce travail de thèse est ensuite appliquée à l'étude et la localisation de défauts ESD dans les circuits intégrés.The aim of this work is to develop new contactless analysis techniques on VLSI circuits using a pulsed laser. The Photoelectric Laser Stimulation technique is investigated. This technique allows localizing sub-micronic defects in a conductive area of an integrated circuit. To complete the experimental study, numerical simulations where performed in order to improve the understanding of the laser pulse-semiconductor interaction. The developed methodology is finally applied to investigate and localize ESD defects in integrated circuits
Adaptation du programme de gestion des écosystèmes à la réalité urbaine des habitats des parcs-nature de l’île de Montréal
L’agglomération de Montréal, insulaire et dense, doit trouver un juste équilibre entre son développement économique, social, tout en conservant le plus de milieux naturels possible. C’est dans cette optique de protection et de conservation que naît le programme de gestion des écosystèmes réalisé par Cogliastro et al (1996). Ce programme vise à évaluer la valeur écologique des milieux naturels des territoires des parcs-nature afin de déterminer des modalités de gestion optimales pour ces derniers. Toutefois, le calcul de la valeur écologique actuelle pour la flore ne reflète pas le plein potentiel écologique de ces grands parcs, soumis à de fortes pressions urbaines.
L’objectif de cet essai est d’analyser, et de bonifier les critères d’évaluation de la valeur écologique du programme de gestion des écosystèmes, en vue d’assurer une gestion adéquate des milieux naturels, par rapport aux enjeux de l’agglomération de Montréal. Cet essai débute par une définition claire du programme de gestion des écosystèmes et de ses critères, ainsi qu’un portrait détaillé de la composition floristique de Montréal et des pressions anthropiques. Une description des nouvelles connaissances en écologie permet de mettre en lumière l’intégrité écologique comme un outil essentiel pour une gestion adéquate des écosystèmes urbains. Deux analyses ont permis d’évaluer la pertinence de chaque critère : une analyse multicritère ainsi qu’une analyse de coûts et bénéfices.
À la lumière des résultats des deux analyses, la majorité des critères ont été retenus. Seuls deux des trois sous-critères du critère de succession et perturbation n’ont pas été retenus : l’importance des espèces héliophiles dans la communauté, ainsi que l’indicateur de similarité entre la strate arborescente et celle des gaulis. Les critères retenus ont toutefois fait l’objet d’une bonification afin de pouvoir favoriser de façon optimale au minimum l’un des indicateurs d’intégrité écologique. En plus de ces améliorations, de nouveaux critères tels que la fragmentation et la connectivité ont été ajoutés afin de garantir la prise en compte de tous les aspects favorisant le maintien de l’intégrité écologique. Ces recommandations ont permis d’obtenir une nouvelle proposition d’estimation de la valeur écologique de la flore faite de sept critères et de leurs sous-critères
Global digital image correlation up to very high temperatures with grey level corrections
International audienceThe characterisation of high temperature materials for extreme environment implies experimental challenges. Displacement measurements using Digital Image Correlation (DIC) have proven to be an efficient non-contact method even at high temperatures. This paper uses global DIC and grey level corrections to analyse very high temperature tests in which inversion of the grey level distribution may occur. The benefits of grey level corrections are shown on a coated ceramic matrix composite heated up to 1400°C. The inversion of the grey level distribution is then accounted for to study various ceramics subjected to temperatures up to 1860°C
The Effect of Binaural Beats on Visuospatial Working Memory and Cortical Connectivity
Binaural beats utilize a phenomenon that occurs within the cortex when two different frequencies are presented separately to each ear. This procedure produces a third phantom binaural beat, whose frequency is equal to the difference of the two presented tones and which can be manipulated for non-invasive brain stimulation. The effects of binaural beats on working memory, the system in control of temporary retention and online organization of thoughts for successful goal directed behavior, have not been well studied. Furthermore, no studies have evaluated the effects of binaural beats on brain connectivity during working memory tasks. In this study, we determined the effects of different acoustic stimulation conditions on participant response accuracy and cortical network topology, as measured by EEG recordings, during a visuospatial working memory task. Three acoustic stimulation control conditions and three binaural beat stimulation conditions were used: None, Pure Tone, Classical Music, 5Hz binaural beats, 10Hz binaural beats, and 15Hz binaural beats. We found that listening to 15Hz binaural beats during a visuospatial working memory task not only increased the response accuracy, but also modified the strengths of the cortical networks during the task. The three auditory control conditions and the 5Hz and 10Hz binaural beats all decreased accuracy. Based on graphical network analyses, the cortical activity during 15Hz binaural beats produced networks characteristic of high information transfer with consistent connection strengths throughout the visuospatial working memory task
Within-individual variation of trunk and branch xylem density in tropical trees
Premise of the study: Wood density correlates with mechanical and physiological strategies of trees and is important for estimating global carbon stocks. Nonetheless, the relationship between branch and trunk xylem density has been poorly explored in neotropical trees. Here, we examine this relationship in trees from French Guiana and its variation among different families and sites, to improve the understanding of wood density in neotropical forests. Methods: Trunk and branch xylem densities were measured for 1909 trees in seven sites across French Guiana. A major-axis fit was performed to explore their general allometric relationship and its variation among different families and sites. Key results: Trunk xylem and branch xylem densities were significantly positively correlated, and their relationship explained 47% of the total variance. Trunk xylem was on average 9% denser than branch xylem. Family-level differences and interactions between family and site accounted for more than 40% of the total variance, whereas differences among sites explained little variation. Conclusions: Variation in xylem density within individual trees can be substantial, and the relationship between branch xylem and trunk xylem densities varies considerably among families and sites. As such, whole-tree biomass estimates based on non- destructive branch sampling should correct for both taxonomic and environmental factors. Furthermore, detailed estimates of the vertical distribution of wood density within individual trees are needed to determine the extent to which relying solely upon measures of trunk wood density may cause carbon stocks in tropical forests to be overestimated
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
Discovering human cognitive and emotional states using multi-modal
physiological signals draws attention across various research applications.
Physiological responses of the human body are influenced by human cognition and
commonly used to analyze cognitive states. From a network science perspective,
the interactions of these heterogeneous physiological modalities in a graph
structure may provide insightful information to support prediction of cognitive
states. However, there is no clue to derive exact connectivity between
heterogeneous modalities and there exists a hierarchical structure of
sub-modalities. Existing graph neural networks are designed to learn on
non-hierarchical homogeneous graphs with pre-defined graph structures; they
failed to learn from hierarchical, multi-modal physiological data without a
pre-defined graph structure. To this end, we propose a hierarchical
heterogeneous graph generative network (H2G2-Net) that automatically learns a
graph structure without domain knowledge, as well as a powerful representation
on the hierarchical heterogeneous graph in an end-to-end fashion. We validate
the proposed method on the CogPilot dataset that consists of multi-modal
physiological signals. Extensive experiments demonstrate that our proposed
method outperforms the state-of-the-art GNNs by 5%-20% in prediction accuracy.Comment: Paper accepted in Human-Centric Representation Learning workshop at
AAAI 2024 (https://hcrl-workshop.github.io/2024/
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