858 resultados para Idolos e imagens - Culto


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Profound changes have marked Greek society from the fourth century B.C.. Conquests, wars and epidemics altered drastically the Greek’s posture regarding his public life, his conception of gods and hence the construction of their spaces, whether sacred or profane. Through the fonts, we perceived that the cult of god Asklepeios turned very popular, in this context, for the peculiar way that the god relates to his devotees, through the dreams. We know that the dream was held, for the Greeks, as a space of real existence, it was sacred, and could be accessed in the healing rituals of Asklepios. Our work intends, thereby, to understand the curious and peculiar oniric space, mainly through the inscriptions, architectural structures of the sanctuary and the ancient texts that refer to the context of the period, because we understand that this space was the essential condition for the popularization of the cult, it placed the individual in direct contact with the divinity, a rare closeness between men and gods accepted by the greek imagery until then.

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3D Reconstruction is the process used to obtain a detailed graphical model in three dimensions that represents some real objectified scene. This process uses sequences of images taken from the scene, so it can automatically extract the information about the depth of feature points. These points are then highlighted using some computational technique on the images that compose the used dataset. Using SURF feature points this work propose a model for obtaining depth information of feature points detected by the system. At the ending, the proposed system extract three important information from the images dataset: the 3D position for feature points; relative rotation and translation matrices between images; the realtion between the baseline for adjacent images and the 3D point accuracy error found.

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The understanding of the occurrence and flow of groundwater in the subsurface is of fundamental importance in the exploitation of water, just like knowledge of all associated hydrogeological context. These factors are primarily controlled by geometry of a certain pore system, given the nature of sedimentary aquifers. Thus, the microstructural characterization, as the interconnectivity of the system, it is essential to know the macro properties porosity and permeability of reservoir rock, in which can be done on a statistical characterization by twodimensional analysis. The latter is being held on a computing platform, using image thin sections of reservoir rock, allowing the prediction of the properties effective porosity and hydraulic conductivity. For Barreiras Aquifer to obtain such parameters derived primarily from the interpretation of tests of aquifers, a practice that usually involves a fairly complex logistics in terms of equipment and personnel required in addition to high cost of operation. Thus, the analysis and digital image processing is presented as an alternative tool for the characterization of hydraulic parameters, showing up as a practical and inexpensive method. This methodology is based on a flowchart work involving sampling, preparation of thin sections and their respective images, segmentation and geometric characterization, three-dimensional reconstruction and flow simulation. In this research, computational image analysis of thin sections of rocks has shown that aquifer storage coefficients ranging from 0,035 to 0,12 with an average of 0,076, while its hydrogeological substrate (associated with the top of the carbonate sequence outcropping not region) presents effective porosities of the order of 2%. For the transport regime, it is evidenced that the methodology presents results below of those found in the bibliographic data relating to hydraulic conductivity, mean values of 1,04 x10-6 m/s, with fluctuations between 2,94 x10-6 m/s and 3,61x10-8 m/s, probably due to the larger scale study and the heterogeneity of the medium studied.

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The Brazilian writer, Caio Fernando Abreu, was strongly influenced by a period of changes in social values and perspectives. When he enters the Brazilian literary scene using a writing style free from form and content, he applies in his works all the affliction of the contemporary values. His work embodies all the spirit of a generation that, despite its anxiety for freedom, was still suffocated by the military dictatorship period. Abreu’s narrative also reveals an author with an extreme ability to shift between the erudite and the popular. In his short stories, he develops a performative language mingled by references that turns his text into a sort of Pop Art iconography. Just like Pop Art paintings, full of Coke images, cigarettes, tooth paste and food cans, Abreu’s literary discourse is painted by many symbolical references to modern consumerism, as well as to movies, music and to pop stars. This trace in the writer’s works exerts a great deal of attractiveness on the contemporary reader. In this work, we attempt to analyze this resource in Abreu’s literature under the concepts of cultural studies; thus, we aim at analyzing the various forms of the mass culture expression inside Abreu’s literature, recognizing his allusions as a stylish resource in his writings and highlighting its relevance in the study of the author work. In order to do so, we are based essentially on the reflections of theoreticians: Lipovetsky (1996) and Adorno (2011) who debate the culture and social formation in contemporaneity.

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Synthesis of heterocyclic compounds, as quinoxaline derivatives, has being shown to be relevant and promissor due to expressive applications in biological and technological areas. This work was dedicated to the synthesis, characterization and reactivity of quinoxaline derivatives in order to obtain new chemosensors. (L)-Ascorbic acid (1) and 2,3-dichloro-6,7- dinitroquinoxalina (2) were explored as synthetic precursors. Starting from synthesis of 1 and characterization of compounds derived from (L)-ascorbic acid, studies were performed investigating the application of products as chemosensors, in which compound 36 demonstrated selective affinity for Cu2+ íons in methanolic solution, by naked-eye (colorimetric) and UVvisible analyses. Further, initial analysis suggests that 39 a Schiff’s base derived from 36 also presents this feature. Five quinoxaline derivatives were synthesized from building block 2 through nucleophilic aromatic substitution by aliphatic amines, in which controlling the experimental conditions allows to obtain both mono- and di-substituted derivatives. Reactivity studies were carried out with two purposes: i) investigate the possibility of 47 compound being a chemosensor for anion, based on its interaction with sodium hydroxide in DMSO, using image analysis and UV-visible spectroscopy; ii) characterize kinetically the conversion of compound 44 into 46 based on RGB and multivariate image analysis from TLC data, as a simple and inexpensive qualitative and quantitative tool.

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Entre los años 30 y 40 del siglo pasado, México vio surgir de las cenizas de la revolución mexicana, una figura singular. Frida Kahlo es descrita hasta la fecha de hoy, por el imaginario social – en sus pinturas, en sus fotografías – como una mujer que ha marcado una época y se ha convertido en un símbolo de luchas, y esto se extiende hasta la contemporaneidad. Se ha creado en torno a la pintora mexicana, varias imágenes sociales que se describen en el juego dialógico entre sus obras y sus interlocutores. Teniendo por referencia estas afirmaciones, la investigación aquí presentada ha tomado como procedimiento realizar un análisis de seis cartas escritas por Frida a sus interlocutores amados/amantes – tres hombres con los que estuvo involucrada, emocionalmente, durante diferentes períodos de su vida – y, como objetivo, hacer un mapeo de los ethé construidos por ella en enunciados en los cuales ella "pinta" verbalmente una imagen de sí misma que se revela en las opciones léxicas elegidas para hablar de amor, de traición, de amistad, de dolor y de su estar en el mundo. Por lo tanto, hemos refinado una imagen estética e ideológica de Frida Kahlo que se cubre de pasionalidades distintas y de diversos grados dialógicos. Hay, en el recorte temporal y axiológico que hicimos para esta investigación, una mujer de naturaleza amante y que transformó ese amor en el tono de sus enfrentamientos con los interlocutores con quienes estuvo involucrada emocionalmente. Nuestro análisis está anclado en los postulados teóricos del Análisis Dialógico del Discurso (ADD), cuyo teórico base es el filósofo ruso Mikhail Bakhtin (2003, 2009, 2013) – sobre todo cuando se trata de estilo – y en la teoría de la enunciación de Maingueneau (2008, 2005) y Charaudeau (2006) – en lo que se refiere al ethos discursivo. Esta investigación se inserta en el área de Lingüística Aplicada y tiene un enfoque cualitativo-interpretativo.

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This work presents an analysis of the behavior of some algorithms usually available in stereo correspondence literature, with full HD images (1920x1080 pixels) to establish, within the precision dilemma versus runtime applications which these methods can be better used. The images are obtained by a system composed of a stereo camera coupled to a computer via a capture board. The OpenCV library is used for computer vision operations and processing images involved. The algorithms discussed are an overall method of search for matching blocks with the Sum of the Absolute Value of the difference (Sum of Absolute Differences - SAD), a global technique based on cutting energy graph cuts, and a so-called matching technique semi -global. The criteria for analysis are processing time, the consumption of heap memory and the mean absolute error of disparity maps generated.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

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The thesis presented is committed to a poetic reading that results in the creation of meaning and images of the death from the various cultural practices and symbolic representations exposed in urban cemeteries in some Brazilian cities, aiming to give visibility to new understandings about the imaginary of the in the contemporary scene. Death, therefore, will be seen as a imagining condition of anthroposwhen starts itself from the prerogative of the human consciousness of death (MORIN, 1970), in other words, this awareness that man has he will die and that triggers reflections about their existence allows the emergence of a number of practices such as: mourning, funeral rituals and the creation of several impregnated representations of human emotions emerged from the death facing the man and present, in a more evident form in cemeterial spaces. For this, it focuses on the conflictuous dimension that man establishes with death, because the cultural practices and symbolic representations observed in the research field are the result of this conflict and allow the expansion of the senses about this issue, to the extent that these are coated with a fantastic aura, mystical, secret, spooky, fearful, religious, building a complex imagination. The general plan of this study is to discuss and create, from a phenomenology of imagination and materials / dynamics imagination, as well as along the lines treated by Gaston Bachelard, images of death, from a field experience in cemeteries in Brazil. For this, it is assumed, to observe the cultural practices and symbolic representations in these spaces, a posture able to make the experience into the search field a moment of symbolic exchanges and creation. Thus, it was used observation, conversations with visitors and employees of the cemeteries and the capture of photographic records. The data produced as a fragment of a conversation, a tearful outburst about the loss of a relative, a melancholic epitaph, a flower on the grave or a cry captured by photography were seen as detonators of meanings and a poetic of the imagination.

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The thesis presented is committed to a poetic reading that results in the creation of meaning and images of the death from the various cultural practices and symbolic representations exposed in urban cemeteries in some Brazilian cities, aiming to give visibility to new understandings about the imaginary of the in the contemporary scene. Death, therefore, will be seen as a imagining condition of anthroposwhen starts itself from the prerogative of the human consciousness of death (MORIN, 1970), in other words, this awareness that man has he will die and that triggers reflections about their existence allows the emergence of a number of practices such as: mourning, funeral rituals and the creation of several impregnated representations of human emotions emerged from the death facing the man and present, in a more evident form in cemeterial spaces. For this, it focuses on the conflictuous dimension that man establishes with death, because the cultural practices and symbolic representations observed in the research field are the result of this conflict and allow the expansion of the senses about this issue, to the extent that these are coated with a fantastic aura, mystical, secret, spooky, fearful, religious, building a complex imagination. The general plan of this study is to discuss and create, from a phenomenology of imagination and materials / dynamics imagination, as well as along the lines treated by Gaston Bachelard, images of death, from a field experience in cemeteries in Brazil. For this, it is assumed, to observe the cultural practices and symbolic representations in these spaces, a posture able to make the experience into the search field a moment of symbolic exchanges and creation. Thus, it was used observation, conversations with visitors and employees of the cemeteries and the capture of photographic records. The data produced as a fragment of a conversation, a tearful outburst about the loss of a relative, a melancholic epitaph, a flower on the grave or a cry captured by photography were seen as detonators of meanings and a poetic of the imagination.

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Augusto Boal (Brasil) y Heiner Müller (Alemania) son dramaturgos del siglo XX que vivieron en países y contextos evidentemente distintos. Sin embargo, con la crisis del teatro burgués y de las condiciones de legitimidad del régimen de producción de este teatro, ambos presentan puntos de contacto en sus líneas y vectores teatrales que, frente a la universalidad cuestionable de la dramatización, llevan a la concepción de un teatro múltiple y perturbador del orden de lo sensible. Los procesos de escenificación contemporánea exige un adelantamiento del sentido político, desviando del juego de representaciones sociales, para dar lugar al trabajo deconstructor de imágenes como cisión entre la palabra y lo representado, entre lo legible y lo visible. Frente al expuesto, las escritas escénicas y, por eso, literarias de estos autores, sitios de singularización – no con ausencia de paradojas – capaces de movilizar manifestaciones e impases cuanto a las imágenes que ordenan o desordenan los textos dramáticos, traen para la contemporaneidad tensiones que llevan al teatro mismo, tanto a interpelarse como, en su fuerza plural, a encontrar pasajes para el nuevo. Llevar a la superficie aspectos políticos en las imágenes de los textos dramáticos, considerándolos en su inscripción literaria: “La misión: recuerdos de una revolución”, de Heiner Müller, y de “El hombre que era una fábrica”, de Augusto Boal, se hace un desafío, una vez que las imágenes pretendidas son aquellas con formas o materialidades todavía no visibles en la escena, podríamos decir, en estado virtual. Como imágenes pensantes, ellas suceden en el plan de inmanencia del lenguaje (Deleuze y Guattari). Siendo lo “político” una perturbación en lo sensible, contrario a la política (Rancière), la dramaturgia se abala en multiplicidades, desplazando y desnaturalizando las funciones de autor/dramaturgo y lector/actor, teatro/literatura. Dramaturgia simultánea, imagen, fragmento y colaje se muestran como procedimientos artísticos y literarios creativos que se encuentran apropiados sea en la teoría del teatro del oprimido (Boal), sea en el teatro pos-dramático (Hans-ThiesLehmann), a pesar de que, al confrontarlas, sobresalían en desentendimientos: la primera coincide con la lógica de la identidad y la segunda, esta se desarticula, movida por la diáfora, contestación, o desacuerdo. Tales relaciones – no apriorísticas – se suceden en cuanto acontecimiento de la lectura o de la literatura como acontecimiento en que lo político en las imágenes se da, antes, en las lagunas y obscuridades, aludiendo a lo que está más allá de lo sentido, de la escena del gesto y de la palabra. El lector no se para para atribuir sentido, se interroga frente a las metamorfosis y formas oblicuas de acontecimientos insospechables que componen lo político estableciendo la gestión colectiva de la enunciación. En este caso, el texto de Boal y el texto de Müller se inscriben en la producción de una literatura menor, o de un teatro menor, o que los califica como agentes de devenires revolucionarios, agitando, a través de la política en las imágenes, e irrumpiendo contra el problema del poder en las artes.

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The objective of this work is to use algorithms known as Boltzmann Machine to rebuild and classify patterns as images. This algorithm has a similar structure to that of an Artificial Neural Network but network nodes have stochastic and probabilistic decisions. This work presents the theoretical framework of the main Artificial Neural Networks, General Boltzmann Machine algorithm and a variation of this algorithm known as Restricted Boltzmann Machine. Computer simulations are performed comparing algorithms Artificial Neural Network Backpropagation with these algorithms Boltzmann General Machine and Machine Restricted Boltzmann. Through computer simulations are analyzed executions times of the different described algorithms and bit hit percentage of trained patterns that are later reconstructed. Finally, they used binary images with and without noise in training Restricted Boltzmann Machine algorithm, these images are reconstructed and classified according to the bit hit percentage in the reconstruction of the images. The Boltzmann machine algorithms were able to classify patterns trained and showed excellent results in the reconstruction of the standards code faster runtime and thus can be used in applications such as image recognition.

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Lung cancer is the most common of malignant tumors, with 1.59 million new cases worldwide in 2012. Early detection is the main factor to determine the survival of patients affected by this disease. Furthermore, the correct classification is important to define the most appropriate therapeutic approach as well as suggest the prognosis and the clinical disease evolution. Among the exams used to detect lung cancer, computed tomography have been the most indicated. However, CT images are naturally complex and even experts medical are subject to fault detection or classification. In order to assist the detection of malignant tumors, computer-aided diagnosis systems have been developed to aid reduce the amount of false positives biopsies. In this work it was developed an automatic classification system of pulmonary nodules on CT images by using Artificial Neural Networks. Morphological, texture and intensity attributes were extracted from lung nodules cut tomographic images using elliptical regions of interest that they were subsequently segmented by Otsu method. These features were selected through statistical tests that compare populations (T test of Student and U test of Mann-Whitney); from which it originated a ranking. The features after selected, were inserted in Artificial Neural Networks (backpropagation) to compose two types of classification; one to classify nodules in malignant and benign (network 1); and another to classify two types of malignancies (network 2); featuring a cascade classifier. The best networks were associated and its performance was measured by the area under the ROC curve, where the network 1 and network 2 achieved performance equal to 0.901 and 0.892 respectively.

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Nowadays, the amount of customers using sites for shopping is greatly increasing, mainly due to the easiness and rapidity of this way of consumption. The sites, differently from physical stores, can make anything available to customers. In this context, Recommender Systems (RS) have become indispensable to help consumers to find products that may possibly pleasant or be useful to them. These systems often use techniques of Collaborating Filtering (CF), whose main underlying idea is that products are recommended to a given user based on purchase information and evaluations of past, by a group of users similar to the user who is requesting recommendation. One of the main challenges faced by such a technique is the need of the user to provide some information about her preferences on products in order to get further recommendations from the system. When there are items that do not have ratings or that possess quite few ratings available, the recommender system performs poorly. This problem is known as new item cold-start. In this paper, we propose to investigate in what extent information on visual attention can help to produce more accurate recommendation models. We present a new CF strategy, called IKB-MS, that uses visual attention to characterize images and alleviate the new item cold-start problem. In order to validate this strategy, we created a clothing image database and we use three algorithms well known for the extraction of visual attention these images. An extensive set of experiments shows that our approach is efficient and outperforms state-of-the-art CF RS.