Orientadores: Hélio Pedrini, William Robson Schwartz / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-24T04:06:04Z (GMT). No. of bitstreams: 1 Siqueira_FernandoRobertide_M.pdf: 20841189 bytes, checksum: 62053b7b36d54bbdccc8b5aa3650fe6a (MD5) Previous issue date: 2013 / Resumo: Visão computacional e processamento de imagens desempenham um papel importante em diversas áreas, incluindo detecção de objetos e classificação de imagens, tarefas muito importantes para aplicações em imagens médicas, sensoriamento remoto, análise forense, detecção de pele, entre outras. Estas tarefas dependem fortemente de informação visual extraída de imagens que possa ser utilizada para descrevê-las eficientemente. Textura é uma das principais propriedades usadas para descrever informação tal como distribuição espacial, brilho e arranjos estruturais de superfícies. Para reconhecimento e classificação de imagens, um grande grupo de descritores de textura foi investigado neste trabalho, sendo que apenas parte deles é realmente multiescala. Matrizes de coocorrência em níveis de cinza (GLCM) são amplamente utilizadas na literatura e bem conhecidas como um descritor de textura efetivo. No entanto, este descritor apenas discrimina informação em uma única escala, isto é, a imagem original. Escalas podem oferecer informações importantes em análise de imagens, pois textura pode ser percebida por meio de diferentes padrões em diferentes escalas. Dessa forma, duas estratégias diferentes para estender a matriz de coocorrência para múltiplas escalas são apresentadas: (i) uma representação de escala-espaço Gaussiana, construída pela suavização da imagem por um filtro passa-baixa e (ii) uma pirâmide de imagens, que é definida pelo amostragem de imagens em espaço e escala. Este descritor de textura é comparado com outros descritores em diferentes bases de dados. O descritor de textura proposto e então aplicado em um contexto de detecção de pele, como forma de melhorar a acurácia do processo de detecção. Resultados experimentais demonstram que a extensão multiescala da matriz de coocorrência exibe melhora considerável nas bases de dados testadas, exibindo resultados superiores em relação a diversos outros descritores, incluindo a versão original da matriz de coocorrência em escala única / Abstract: Computer vision and image processing techniques play an important role in several fields, including object detection and image classification, which are very important tasks with applications in medical imagery, remote sensing, forensic analysis, skin detection, among others. These tasks strongly depend on visual information extracted from images that can be used to describe them efficiently. Texture is one of the main used characteristics that describes information such as spatial distribution, brightness and surface structural arrangements. For image recognition and classification, a large set of texture descriptors was investigated in this work, such that only a small fraction is actually multi-scale. Gray level co-occurrence matrices (GLCM) have been widely used in the literature and are known to be an effective texture descriptor. However, such descriptor only discriminates information on a unique scale, that is, the original image. Scales can offer important information in image analysis, since texture can be perceived as different patterns at distinct scales. For that matter, two different strategies for extending the GLCM to multiple scales are presented: (i) a Gaussian scale-space representation, constructed by smoothing the image with a low-pass filter and (ii) an image pyramid, which is defined by sampling the image both in space and scale. This texture descriptor is evaluated against others in different data sets. Then, the proposed texture descriptor is applied in skin detection context, as a mean of improving the accuracy of the detection process. Experimental results demonstrated that the GLCM multi-scale extension has remarkable improvements on tested data sets, outperforming many other feature descriptors, including the original GLCM / Mestrado / Ciência da Computação / Mestre em Ciência da Computação

Le travail exposé dans ce mémoire propose un examen, selon une approche multiéchelle, de la relation entre l’évolution de l’endommagement et la perte de conductibilité thermique de Compositesà Matrice Céramique. Les recherches sont menées à la fois sur le plan expérimental et sur le plan théorique. La démarche mise en oeuvre consiste à examiner deux échelles significatives (Microet Meso) auxquelles agissent des mécanismes d’endommagement différents et à évaluer pardes techniques d’homogénéisation l’effet sur les propriétés thermiques effectives.Une attention particulière a été donnée à l’élaboration d’une démarche expérimentale approfondieassociant des moyens de caractérisation mécanique, thermique et microstructurale. Aux deuxéchelles étudiées, un banc expérimental a été conçu pour réaliser des mesures thermiques sur des CMC sollicités mécaniquement. La diffusivité thermique longitudinale du mini composite est estimée par thermographie à détection synchrone. Des variantes de la méthode flash en face arrière sont mises en oeuvre pour l’étude du composite tissé. Par ailleurs, la progression de l’endommagementest déduite de l’enregistrement des signaux acoustiques et d’observations microstructurales post-mortem. Les résultats expérimentaux sont systématiquement comparés à des simulations. A l’échelle Micro, un modèle micromécanique est proposé afin de simuler la perte de conductivité thermique d’un mini composite en traction. A l’échelle Méso, une stratégie multiéchelle de calcul numérique de l’effet de l’endommagement sur les propriétés thermiques d’un CMC tissé est présentée. / In this work the relationship between the evolution of damage and the loss of thermal propertiesof Ceramic Matrix Composites is investigated by a multiscale approach. Research are conductedboth experimentally and theoretically. The implemented approach is to consider two significantscales (micro and meso) where different damage mechanisms are operating and then assess theeffect on the effective thermal properties by homogenization techniques.Particular attention has been given to the development of a thorough experimental work combiningvarious characterization tools (mechanical, thermal and microstructural). At the two aforementionedscales, an experimental setup was designed to perform thermal measurements onCMC under tensile test. Thermal diffusivity of minicomposites is estimated using Lock-in thermography.Also, tranverse diffusivity mapping as well as global in-plane diffusivity of woven CMCare determined by suitable rear face flash methods. The evolution of damage is then derived fromacoustic emission activity along with postmortem microstructural observations. Experimental resultsare systematically compared to simulations. At microscale, a micromechanical-based modelis used to simulate the loss of thermal conductivity of a minicomposite under tensile test. At mesoscale,a multiscale Finite ElementModel is proposed to compute the effect of damage on thermalproperties of woven CMC.

Cette thèse s'inscrit dans le cadre d'un projet globalde collaboration avec le groupe Cobra Europe. La motivation principale estde comprendre et de modéliser les mécanismes physiques de dégradations etde rupture d'un tissu préalablement conçu pour répondre à un cahier des charges identifié.Ce travail poursuit alors les acquis de la thèse de Piezelen s'intéressant aux mécanismes de dégradation conduisantà la ruine d'un tissu et en introduisant des grandeurs susceptibles d'être une aide à leur conception. Un travail d'investigation expérimentale multi-échelle sur tissus vierge et endommagé est d'abord mis en œuvre afin d'analyser et de caractériser les phénomènes dedégradation qui peuvent y apparaître. Les essais mécaniques de traction résiduelle (avec ou sans cyclage préalable) sont réalisés sur bande (échelle macroscopique) pour déceler une chute de la contrainte à rupture. Les observations par tomographie très haute résolution permettent d'accéder au cœur même des constituants du tissu (échelle mésoscopique). Elles ont révélé la cause principale de la ruine d'un tissu :la rupture des fils de chaîne, avec des informations telles que sa localisation ainsi que l'orientation de la normale à la surface de rupture. Un travail de modélisation multiéchelle est ensuite mené sur le tissu afin de rendrecompte des mécanismes de dégradation observés au préalable. Sous des sollicitationsmacroscopiques représentatives des conditions de service avec lesquellesle tissu considéré est utilisé (traction/flexion), la cellule périodiquedu Volume Elémentaire Représentatif est investiguée. Notammentune analyse très complète de l'état de contraintes (hétérogénéité, gradient, triaxialité, orientation préférentielle) est faite dans les fils de renfort.De cela, des grandeurs jugées pertinentes pour analyser n'importe quel tissu sont identifiées.Ces grandeurs sont en accord avec les observations expérimentales. Elles ontpermis finalement de comprendre et d'expliquer le processus de ruine du tissu.Egalement, avec l'expérience acquise tout au long de ce travail, ces mêmesgrandeurs ont été utilisées en vue d'effectuer le classement de deux types d'architectures tissées. Ceci ouvre la voie pour la troisième thèse qui systématisera et affinera la démarche. / This PhD work is part of global collaboration project with Cobra Europe company.The main motivation is to better understand in order to model the physical degradation mechanisms of woven composite with a well specified design.The present work takes benefit of the results issued from Piezelthesis. It aims at investigating the mechanisms of degradation leading to the failure of woven fabrics but also at introducing relevant parameters dedicated to their design.A multiscale experimental investigation on virgin and degraded samples of fabric is first carried out in order to analyze and characterize the damage phenomena observed within these samples.Tensile tests (with or without pre-cycling) were performed on the composite material (at the macroscopic scale) to detect a decrease in the stress at failure. Tomographic inspections with high resolution allowed for observations inside the constituents of the fabrics (mesoscopic scale)Thus, the main origin of the failure of the fabric was revealed : the warp yarn break with its localisation and information about the orientation of the normal to the fracture surfaces. A multiscale modeling was then performed, motivated by the degradation mechanisms observed previously. Under macroscopic loading representative of in service solicitationapplied to the present woven fabric (tension/bending), the periodic cell of theRepresentative Volume Element was investigated. Namely, a complete analysis of the stress state (heterogeneity, gradient, triaxiality, orientation) is carried out within the reinforcing yarns. It turns out that relevant parameters able to analyze any woven fabric were identified. Their characteristics were in good agreement with the experimental evidences. Furthermore, they allowed for a better understanding of the failure process of the fabric. With the experience acquired during the present work, these parameters were utilized to classify two specific woven architectures.This opens the perspective of a third thesis dedicated to refine and render systematic the present approach.

Reservoir management typically focuses on maximizing oil and gas recovery from a reservoir based on facts and information while minimizing capital and operating investments. Modern reservoir management uses history-matched simulation model to predict the range of recovery or to provide the economic assessment of different field development strategies. Geological models are becoming increasingly complex and more detailed with several hundred thousand to million cells, which include large sets of subsurface uncertainties. Current issues associated with history matching, therefore, involve extensive computation (flow simulations) time, preserving geologic realism, and non-uniqueness problem. Many of recent rate optimization methods utilize constrained optimization techniques, often making them inaccessible for field reservoir management. Field-scale rate optimization problems involve highly complex reservoir models, production and facilities constraints and a large number of unknowns. We present a hierarchical multiscale calibration approach using global and local updates in coarse and fine grid. We incorporate a multiscale framework into hierarchical updates: global and local updates. In global update we calibrate large-scale parameters to match global field-level energy (pressure), which is followed by local update where we match well-by-well performances by calibration of local cell properties. The inclusion of multiscale calibration, integrating production data in coarse grid and successively finer grids sequentially, is critical for history matching high-resolution geologic models through significant reduction in simulation time. For rate optimization, we develop a hierarchical analytical method using streamline-assisted flood efficiency maps. The proposed approach avoids use of complex optimization tools; rather we emphasize the visual and the intuitive appeal of streamline method and utilize analytic solutions derived from relationship between streamline time of flight and flow rates. The proposed approach is analytic, easy to implement and well-suited for large-scale field applications. Finally, we present a hierarchical Pareto-based approach to history matching under conflicting information. In this work we focus on multiobjective optimization problem, particularly conflicting multiple objectives during history matching of reservoir performances. We incorporate Pareto-based multiobjective evolutionary algorithm and Grid Connectivity-based Transformation (GCT) to account for history matching with conflicting information. The power and effectiveness of our approaches have been demonstrated using both synthetic and real field cases.

Orientador: Jorge Stolfi / Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação / Made available in DSpace on 2018-08-23T12:30:57Z (GMT). No. of bitstreams: 1 Pereira_DanilloRoberto_D.pdf: 2771811 bytes, checksum: 6d5b092c08b5c011636be5fc2661e4a0 (MD5) Previous issue date: 2013 / Resumo: Nesta tese descrevemos um algoritmo genérico (que denominamos MSFit) capaz de estimar a pose e as deformações de modelos 3D de estruturas biológicas (bactérias, células e etc.) em imagens obtidas por meio de microscópios óticos ou de varredura eletrônica. O algoritmo usa comparação multi-escala de imagens utilizando uma métrica sensível ao contorno; e um método original de otimização não-linear. Nos nossos testes com modelos de complexidade moderada (até 12 parâmetros) o algoritmo identifica corretamente os parâmetros do modelo em 60-70% dos casos com imagens reais e entre 80-90% dos casos com imagens sintéticas / Abstract: In this thesis we describe a generic algorithm (which we call MSFit) able to estimate the pose and deformations of 3D models of biological structures (bacteria, cells, etc.) with images obtained by optical and scanning electron microscopes. The algorithm uses an image comparison metric multi-scale, that is outline-sensitive, and a novel nonlinear optimization method. In our tests with models of moderate complexity (up to 12 parameters) the algorithm correctly identifies the model parameters in 60-70 % of the cases with real images and 80-90 % of the cases with synthetic images / Doutorado / Ciência da Computação / Doutor em Ciência da Computação

Les composites C/C sont principalement utilisés dans les applications à très haute température et notamment dans le domaine du spatial. Savoir concevoir ces matériaux est essentiel pour améliorer leurs performances et diminuer les coûts de production. Ce mémoire présente le développement d’un modèle multiéchelle basé images du comportement thermomécanique d’un composite C/C à renfort 3Daiguilleté. L’utilisation de méthodes classiques ne permet pas de décrire correctement cette architecture très complexe. La méthode CEPI (Computing Effective Properties using Images) présentée s’appuie d’une part sur les propriétés des constituants, dont certaines ont été caractérisées au laboratoire, etd’autre part sur l’architecture de ces matériaux, qui a été obtenue à partir d’une image tomographique.Les propriétés mesurées des constituants ont été directement utilisées dans un modèle microscopique de fil idéal, le modèle macroscopique étant lui directement basé sur l’image de tomographie. Les paramètres des calculs aux différentes échelles ont ensuite été étudiés et discutés pour en déterminer l’influence et permettre de valider certaines hypothèses. La comparaison des résultats numériques et expérimentaux a enfin permis de valider la méthode CEPI sur le comportement mécanique linéaire et de mettre en avant les principaux axes d’améliorations pour le comportement en dilatation des ces composites. / C/C composites are used in very high temperature applications, especially in space activities. The ability to design these materials is essential in order to enhance their performances and lower their production costs. This work introduces an images-based multiscale modeling of the thermomechanical behavior of a C/C needled composites. Standard methods cannot describe this very complex architecture.The CEPI model (Computing Effective Properties using Images) is based on one hand on the components properties, some of them having been characterized in the laboratory, and on the other hand on the architecture of the material which is directly obtained using tomography images. The components properties were used on a microscopic model of an idealistic yarn, while the macroscopic model was based on the CT scan data itself. The influence of the internal parameters of the method was studied and discussed, and allowed validating some hypotheses. Finally, the comparison between the numerical and experimental results validates the CEPI model on the linear mechanical behavior and stressed the key axes of improvement for the thermal expansion behavior of these composites.

Depuis quelques décennies, les flavonoïdes sont de plus en plus utilisés dans différents domaines d’applications alimentaires et non alimentaires. Cet engouement est dû principalement à leurs activités antioxydantes. Cependant, la solubilisation, la dispersion et la stabilisation de ces molécules sont variables et constituent un frein à leur utilisation. L’objectif de ce travail est de pallier cet inconvénient en visant à comprendre les interactions entre ces composés et leur milieu en absence et en présence de polymères, par une double approche expérimentale et par modélisation et mésomodélisation moléculaire. Dans un premier temps les interactions entre 3 flavonoïdes la quercétine et ses deux formes glycosilées la rutine et l’isoquercétine dans différents solvants organiques ont été étudiées. Les résultats obtenus (paramètre de Flory Huggins et fonction de la distribution radiale) ont montré que la partie B2 commune aux trois flavonoïdes avec des valeurs de paramètres de Flory Huggins proche de 0.5 dans le M2B2 et plus importantes dans l’acétonitrile est la responsable du comportement des flavonoïdes dans le solvant. Les simulations par DDFT ont montré une agrégation de la quercétine dans le M2B2 contre une dispersion dans l’acétonitrile. Toutes ces observations ont été validées expérimentalement (étude de la solubilité et observations microscopiques). Dans un deuxième temps on a étudié la quercétine en présence d’un bioploymère le PLGA dans l’eau. Des nanoparticules ont été formées en variant la concentration des différents composés et le ratio acide lactique / acide glycolique du PLGA. Les méthodes de la modélisation moléculaire et de la mésomodélisation (calcul du paramètre de solubilité par dynamique moléculaire et observation de la dispersion ou de la séparation de phase par DDFT) ainsi que l’approche expérimentale (DSC, MET …) nous ont menées à la même constatation. En effet la taille des particules augmente avec la concentration du PLGA et le taux d’acide lactique dans le polymère. Aussi la concentration de l’émulsifiant dans le milieu joue un rôle important dans la formation d’agrégats PLGA-Q. Plus sa concentration est importante, plus la formation des particules est difficile comme il joue un rôle sur la viscosité du milieu et par conséquence la diffusivité des molécules dans l’eau. Tous les résultats obtenus par modélisation moléculaire et par mésomodélisation ont été validés expérimentalement. On peut donc conclure que la méthodologie adoptée en simulation peut constituer un outil d’aide à la prédiction du comportement des flavonoïdes / Over the past few decades, flavonoids have become increasingly used in different food and non-food applications due to their important antioxidant activities. However, the solubilization, dispersion and stabilization of these molecules are variable and constitute a brake on their use in different formulations. The objective of this work is to overcome those limitations by understanding the interactions between these compounds and their environment without and with the add of polymers, by a multi-scale approach approach (molecular modeling and mesoscale modeling and experimental study). Initially, interactions between 3 flavonoids (quercetin, rutin and isoquercetin) in various organic solvents, were studied. The obtained results (mainly Flory Huggins parameter and radial distribution function RDF) showed that the B2 part common to the three flavonoids (For example Flory Huggins parameter values were close to 0.5 in the M2B2 and much more important in acetonitrile) is responsible for the miscibility behavior of the flavonoids in the solvent. DDFT simulations showed aggregation of quercetin in M2B2 against dispersion in acetonitrile. All these observations were confirmed experimentally (study of solubility and microscopic observations). Then, quercetin was studied in the presence of a biopolymer, PLGA in water. Nanoparticles were formed by varying the concentration of the various compounds and the lactic acid / glycolic acid ratio in the PLGA. The tools of molecular modeling and mesoscale modeling (calculation of the solubility parameter by molecular dynamics and observation of the dispersion or the phase separation by DDFT) as well as the experimental approach (DSC, MET ...) led us to the same conclusions. Indeed, the particle size increases with the concentration of PLGA and the rate of lactic acid in the polymer. Also the concentration of the emulsifier in the medium has an important role in the formation of PLGA-Q aggregates. The higher its concentration, the more difficult the formation of the particles as it affects the viscosity of the medium and consequently the diffusivity of the molecules in the water. All the results obtained by molecular modeling and by mesoscale modeling have been confirmed experimentally. We can therefore conclude that the methodology adopted in the simulations can be considered as a tool to help on predicting the behavior of flavonoids in different medium

Orientador: Osvaldo Luís Manzoli / Resumo: Este trabalho apresenta uma proposta de análise numérica do concreto com agregados reciclados (CAR). A ferramenta desenvolvida facilita a avaliação do comportamento mecânico do material, verificando a viabilidade de sua utilização para fins estruturais. Considerando que no Brasil o emprego atual do material ainda é bastante limitado em comparação com outros países, o CAR pode vir a ser utilizado mais ampla e adequadamente, trazendo vantagens de caráter estrutural, econômico, e principalmente ambiental. Em termos de modelagem do CAR, a ocorrência de particularidades em nível mesoscópico exige um modelo em escala mais refinada para representar as propriedades alteradas do agregado reciclado (AR), de modo que foi desenvolvido um gerador de agregados reciclados para representar sua composição variada. Os mecanismos de falha que ocorrem nas interfaces características do agregado reciclado e da matriz de concreto introduzem não linearidade ao problema mecânico. Para que haja a representação dessa não linearidade, a estratégia de modelagem proposta recorre ao emprego da técnica de fragmentação de malha de elementos finitos juntamente com um modelo constitutivo de dano. Essa técnica de fragmentação baseia-se no emprego de elementos finitos com alta razão de aspecto, os quais poderão ser utilizados para representar as fases adicionais desse material compósito, correspondentes às diferentes zonas de transição interfaciais (ZTIs) intrínsecas do CAR em mesoescala, e consequentemente, cam... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: This research presents a numerical analysis proposal for recycled aggregate concrete (RAC), whose recycled aggregates are obtained from the crushing of concrete waste. The developed tool facilitates the mechanical behavior evaluation of the RAC, verifying the feasibility of its use for structural purposes. Considering that in Brazil the current use of the material is still quite limited in comparison with other countries, the RAC could be used more widely and properly, bringing structural, economic and mainly environmental advantages. Due to the occurrence of mesoscopic specificities, the RAC modeling requires a more refined scale model to represent the altered properties of recycled aggregate, so that a recycled aggregate generator was developed to represent its variable composition. The failure mechanisms that occur at the several interfaces of the recycled aggregate (RA) and concrete matrix introduce nonlinearity to the mechanical problem. In order to represent this nonlinearity, the proposed modeling strategy uses the finite element mesh fragmentation technique together with robust and stable damage constitutive model. This fragmentation technique is based on the use of finite elements with high aspect ratio, which can be used to represent the additional phases of this composite material, corresponding to the different mesoscale RAC intrinsic interfacial transition zones (ITZs), as well as potential pathways for the propagation of fractures. A constitutive model based on ... (Complete abstract click electronic access below) / Mestre

L'objet de ce travail est de proposer une approche multi-échelle de la fatigue fondée sur l'énergie, et susceptible d'estimer les durées de vie associées à des chargements multidimensionnels variables. Le fondement de la démarche consiste à supposer que l'énergie dissipée à petite échelle régit le comportement à la fatigue. À chaque point matériel, est associée une distribution stochastique de points faibles qui sont susceptibles de plastifier et de contribuer à la dissipation d'énergie sans affecter des contraintes macroscopiques globales. Ceci revient à adopter le paradigme de Dang Van en fatigue polycyclique. La structure est supposée élastique (ou adaptée) à l'échelle macroscopique. De plus, on adopte à l'échelle mésoscopique un comportement élastoplastique avec une dépendance de la fonction de charge plastique non seulement de la partie déviatorique des contraintes, mais aussi de la partie hydrostatique. On considère également un écrouissage cinématique linéaire sous l'hypothèse d'une plasticité associée. Au lieu d'utiliser le nombre de cycles comme variable incrémentale, le concept d'évolution temporelle du chargement est adopté pour un suivi précis de l'historique du chargement réel. L'effet de la contrainte moyenne est pris en compte dans la fonction de charge mésoscopique ; une loi de cumul non linéaire de dommage est également considérée dans le modèle. La durée de vie à la fatigue est ensuite déterminée à l'aide d'une loi de phénoménologique fondée sur la dissipation d'énergie mésoscopique issue du cycle d'accommodation plastique. La première partie du travail a porté sur une proposition d'un modèle de fatigie à gradient de mise en oeuvre plus simple que les précédents modèles. / The aim of this work is to propose a multi-scale approach to energy-based fatigue, which can estimate lifetimes associated with variable multidimensional loading. The foundation of the approach is to assume that the energy dissipated on a small scale governs the fatigue behavior. Each material point is associated to a stochastic distribution of weak points that are likely to plasticize and contribute to the dissipation of energy without affecting global macroscopic stresses. This amounts to adopting Dang Van's paradigm of high cycle fatigue. The structure is supposed to be elastic (or adapted) on a macroscopic scale. In addition, we adopt on the mesoscopic scale an elastoplastic behavior with a dependence of the plastic load function not only of the deviatoric part of the stresses, but also of the hydrostatic part. Linear kinematic hardening is also considered under the assumption of an associated plasticity. Instead of using the number of cycles as an incremental variable, the concept of temporal evolution of the load is adopted for a precise follow-up of the history of the actual loading. The effect of mean stress is taken into account in the mesoscopic yield function; a law of nonlinear accumulation of damage is also considered in the model. Fatigue life is then determined using a phenomenological law based on mesoscopic energy dissipation from the plastic accommodative cycle. The first part of the work focused on a proposal for a fatigue model with a simpler implementation gradient than the previous models.

Completely locked-in state (CLIS) patients are unable to speak and have lost all muscle movement. From the external view, the internal brain activity of such patients cannot be easily perceived, but CLIS patients are considered to still be conscious and cognitively active. Detecting the current state of consciousness of CLIS patients is non-trivial, and it is difficult to ascertain whether CLIS patients are conscious or not. Thus, it is important to find alternative ways to re-establish communication with these patients during periods of awareness, and one such alternative is through a brain–computer interface (BCI). In this study, multiscale-based methods (multiscale sample entropy, multiscale permutation entropy and multiscale Poincaré plots) were applied to analyze electrocorticogram signals from a CLIS patient to detect the underlying consciousness level. Results from these different methods converge to a specific period of awareness of the CLIS patient in question, coinciding with the period during which the CLIS patient is recorded to have communicated with an experimenter. The aim of the investigation is to propose a methodology that could be used to create reliable communication with CLIS patients.