932 resultados para Blurred and noisy images
Resumo:
Airborne lidar provides accurate height information of objects on the earth and has been recognized as a reliable and accurate surveying tool in many applications. In particular, lidar data offer vital and significant features for urban land-cover classification, which is an important task in urban land-use studies. In this article, we present an effective approach in which lidar data fused with its co-registered images (i.e. aerial colour images containing red, green and blue (RGB) bands and near-infrared (NIR) images) and other derived features are used effectively for accurate urban land-cover classification. The proposed approach begins with an initial classification performed by the Dempster–Shafer theory of evidence with a specifically designed basic probability assignment function. It outputs two results, i.e. the initial classification and pseudo-training samples, which are selected automatically according to the combined probability masses. Second, a support vector machine (SVM)-based probability estimator is adopted to compute the class conditional probability (CCP) for each pixel from the pseudo-training samples. Finally, a Markov random field (MRF) model is established to combine spatial contextual information into the classification. In this stage, the initial classification result and the CCP are exploited. An efficient belief propagation (EBP) algorithm is developed to search for the global minimum-energy solution for the maximum a posteriori (MAP)-MRF framework in which three techniques are developed to speed up the standard belief propagation (BP) algorithm. Lidar and its co-registered data acquired by Toposys Falcon II are used in performance tests. The experimental results prove that fusing the height data and optical images is particularly suited for urban land-cover classification. There is no training sample needed in the proposed approach, and the computational cost is relatively low. An average classification accuracy of 93.63% is achieved.
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Emotional reactivity and the time taken to recover, particularly from negative, stressful, events, are inextricably linked, and both are crucial for maintaining well-being. It is unclear, however, to what extent emotional reactivity during stimulus onset predicts the time course of recovery after stimulus offset. To address this question, 25 participants viewed arousing (negative and positive) and neutral pictures from the International Affective Picture System (IAPS) followed by task-relevant face targets, which were to be gender categorized. Faces were presented early (400–1500 ms) or late (2400–3500 ms) after picture offset to capture the time course of recovery from emotional stimuli. Measures of reaction time (RT), as well as face-locked N170 and P3 components were taken as indicators of the impact of lingering emotion on attentional facilitation or interference. Electrophysiological effects revealed negative and positive images to facilitate face-target processing on the P3 component, regardless of temporal interval. At the individual level, increased reactivity to: (1) negative pictures, quantified as the IAPS picture-locked Late Positive Potential (LPP), predicted larger attentional interference on the face-locked P3 component to faces presented in the late time window after picture offset. (2) Positive pictures, denoted by the LPP, predicted larger facilitation on the face-locked P3 component to faces presented in the earlier time window after picture offset. These results suggest that subsequent processing is still impacted up to 3500 ms after the offset of negative pictures and 1500 ms after the offset of positive pictures for individuals reacting more strongly to these pictures, respectively. Such findings emphasize the importance of individual differences in reactivity when predicting the temporality of emotional recovery. The current experimental model provides a novel basis for future research aiming to identify profiles of adaptive and maladaptive recovery.
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Backtracks aimed to investigate critical relationships between audio-visual technologies and live performance, emphasising technologies producing sound, contrasted with non-amplified bodily sound. Drawing on methodologies for studying avant garde theatre, live performance and the performing body, it was informed by work in critical and cultural theory by, for example, Steven Connor and Jonathan Rée, on the body's experience and interpretation of sound. The performance explored how shifting national boundaries, mobile workforces, complex family relationships, cultural pluralities and possibilities for bodily transformation have compelled a re-evaluation of what it means to feel 'at home' in modernity. Using montages of live and mediated images, disrupted narratives and sound, it evoked destablised identities which characterise contemporary lived experience, and enacted the displacement of certainties provided by family and nation, community and locality, body and selfhood. Homer's Odyssey framed the performance: elements could be traced in the mise-en-scène; in the physical presence of Athene, the narrator and Penelope weaving mementoes from the past into her loom; and in voice-overs from Homer's work. The performance drew on personal experiences and improvisations, structured around notions of journey. It presented incomplete narratives, memories, repressed anxieties and dreams through different combinations of sounds, music, mediated images, movement, voice and bodily sound. The theme of travel was intensified by performers carrying suitcases and umbrellas, by soundtracks incorporating travel effects, and by the distorted video images of forms of transport playing across 'screens' which proliferated across the space (sails, umbrellas, the loom, actors' bodies). The performance experimented with giving sound and silence performative dimensions, including presenting sound in visual and imagistic ways, for example by using signs from deaf sign language. Through-composed soundtracks of live and recorded song, music, voice-over, and noise exploited the viscerality of sound and disrupted cognitive interpretation by phenomenological, somatic experience, thereby displacing the impulse for closure/destination/home.
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As low carbon technologies become more pervasive, distribution network operators are looking to support the expected changes in the demands on the low voltage networks through the smarter control of storage devices. Accurate forecasts of demand at the single household-level, or of small aggregations of households, can improve the peak demand reduction brought about through such devices by helping to plan the appropriate charging and discharging cycles. However, before such methods can be developed, validation measures are required which can assess the accuracy and usefulness of forecasts of volatile and noisy household-level demand. In this paper we introduce a new forecast verification error measure that reduces the so called “double penalty” effect, incurred by forecasts whose features are displaced in space or time, compared to traditional point-wise metrics, such as Mean Absolute Error and p-norms in general. The measure that we propose is based on finding a restricted permutation of the original forecast that minimises the point wise error, according to a given metric. We illustrate the advantages of our error measure using half-hourly domestic household electrical energy usage data recorded by smart meters and discuss the effect of the permutation restriction.
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Smart meters are becoming more ubiquitous as governments aim to reduce the risks to the energy supply as the world moves toward a low carbon economy. The data they provide could create a wealth of information to better understand customer behaviour. However at the household, and even the low voltage (LV) substation level, energy demand is extremely volatile, irregular and noisy compared to the demand at the high voltage (HV) substation level. Novel analytical methods will be required in order to optimise the use of household level data. In this paper we briefly outline some mathematical techniques which will play a key role in better understanding the customer's behaviour and create solutions for supporting the network at the LV substation level.
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In the present study, we examined whether and how brief viewing of positive and negative images influences subsequent understanding of solutions to insight problems. For each trial, participants were first presented with an insight problem and then briefly viewed a task-irrelevant positive, negative, or neutral image (660 ms), which was followed by the solution to the problem. In our behavioral study (Study 1), participants were faster to report that they understood the solutions following positive images, and were slower to report it following negative images. A subsequent fMRI study (Study 2) revealed enhanced activity in the angular gyrus and medial prefrontal cortex (MPFC) while viewing solutions following positive, as compared with negative, images. In addition, greater activation of the angular gyrus was associated with more rapid understanding of the solutions. These results suggest that brief viewing of positive images enhances activity in the angular gyrus and MPFC, which results in facilitation of understanding solutions to insight problems.
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Recent evidence has suggested a crucial role of people’s current goals in attention to emotional information. This asks for research investigating how and what kinds of goals shape emotional attention. The present study investigated how the goal to suppress a negative emotional state influences attention to emotion-congruent events. After inducing disgust, we instructed participants to suppress all feelings of disgust during a subsequent dot probe task. Attention to disgusting images was modulated by the sort of distracter that was presented in parallel with disgusting imagery. When disgusting images were presented together with neutral images, emotion suppression was accompanied by a tendency to attend to disgusting images. However, when disgusting images were shown with positive images that allow coping with disgust (i.e., images representing cleanliness), attention tended away from disgusting images and toward images representing cleanliness. These findings show that emotion suppression influences the allocation of attention but that the successful avoidance of emotion-congruent events depends on the availability of effective distracters.
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The objective of this article is to study the problem of pedestrian classification across different light spectrum domains (visible and far-infrared (FIR)) and modalities (intensity, depth and motion). In recent years, there has been a number of approaches for classifying and detecting pedestrians in both FIR and visible images, but the methods are difficult to compare, because either the datasets are not publicly available or they do not offer a comparison between the two domains. Our two primary contributions are the following: (1) we propose a public dataset, named RIFIR , containing both FIR and visible images collected in an urban environment from a moving vehicle during daytime; and (2) we compare the state-of-the-art features in a multi-modality setup: intensity, depth and flow, in far-infrared over visible domains. The experiments show that features families, intensity self-similarity (ISS), local binary patterns (LBP), local gradient patterns (LGP) and histogram of oriented gradients (HOG), computed from FIR and visible domains are highly complementary, but their relative performance varies across different modalities. In our experiments, the FIR domain has proven superior to the visible one for the task of pedestrian classification, but the overall best results are obtained by a multi-domain multi-modality multi-feature fusion.
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We report the synthesis and characterization of a healable, elastomeric shape recovery supramolecular polyurethane whose properties result from self-complementary π−π stacking and hydrogen bonding interactions plus phase separation. ESEM analysis and photographic images have revealed that this material can heal at 45 °C in 15 min to recover the mechanical properties of the pristine material with healing efficiencies >99%. This supramolecular polyurethane is also able to recover an applied strain of 25% within 5 min of release of the load.
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Background: The purpose of this study was to compare and evaluate bone and soft tissue levels between immediately placed, immediately restored implants positioned in the esthetic anterior region with different interimplant distances (IID). Methods: Forty-nine patients requiring multiple implant restorations in the anterior regions received 152 implants, which were restored immediately. Periapical radiographs and digital images of 99 interimplant sites were taken at the regular follow-up examinations at 0, 6, 12, and 24 months after surgery. They were digitally recorded and analyzed. The presence of the interproximal papilla was assessed and compared to the distances between the bone crest and the contact point between the natural teeth and the restoration crowns. Results: Implants with an IID <2 mm seemed to lose less bone laterally. When the IID was <2 mm, vertical crestal bone loss was significantly greater than in the group with IID >4 mm. The percentage of the interproximal papilla presence decreased when the distance between the bone crest and the contact point between the two restoration crowns was >6 mm and when two implants were placed at a distance >= 4 mm. Conclusions: To guarantee a better esthetic result in immediately placed, immediately restored implants, the contact point between the two prosthetic crowns should be placed at 3 to 4 mm, and never >6 mm, from the bone peak. Two adjacent implants should be placed at a distance >2 and <4 mm.
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Attention is a critical mechanism for visual scene analysis. By means of attention, it is possible to break down the analysis of a complex scene to the analysis of its parts through a selection process. Empirical studies demonstrate that attentional selection is conducted on visual objects as a whole. We present a neurocomputational model of object-based selection in the framework of oscillatory correlation. By segmenting an input scene and integrating the segments with their conspicuity obtained from a saliency map, the model selects salient objects rather than salient locations. The proposed system is composed of three modules: a saliency map providing saliency values of image locations, image segmentation for breaking the input scene into a set of objects, and object selection which allows one of the objects of the scene to be selected at a time. This object selection system has been applied to real gray-level and color images and the simulation results show the effectiveness of the system. (C) 2010 Elsevier Ltd. All rights reserved.
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The national railway administrations in Scandinavia, Germany, and Austria mainly resort to manual inspections to control vegetation growth along railway embankments. Manually inspecting railways is slow and time consuming. A more worrying aspect concerns the fact that human observers are often unable to estimate the true cover of vegetation on railway embankments. Further human observers often tend to disagree with each other when more than one observer is engaged for inspection. Lack of proper techniques to identify the true cover of vegetation even result in the excess usage of herbicides; seriously harming the environment and threating the ecology. Hence work in this study has investigated aspects relevant to human variationand agreement to be able to report better inspection routines. This was studied by mainly carrying out two separate yet relevant investigations.First, thirteen observers were separately asked to estimate the vegetation cover in nine imagesacquired (in nadir view) over the railway tracks. All such estimates were compared relatively and an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05). Bearing in difference between the observers, a second follow-up field-study on the railway tracks was initiated and properly investigated. Two railway segments (strata) representingdifferent levels of vegetationwere carefully selected. Five sample plots (each covering an area of one-by-one meter) were randomizedfrom each stratumalong the rails from the aforementioned segments and ten images were acquired in nadir view. Further three observers (with knowledge in the railway maintenance domain) were separately asked to estimate the plant cover by visually examining theplots. Again an analysis of variance resulted in a significant difference on the observers’ cover estimates (p<0.05) confirming the result from the first investigation.The differences in observations are compared against a computer vision algorithm which detects the "true" cover of vegetation in a given image. The true cover is defined as the amount of greenish pixels in each image as detected by the computer vision algorithm. Results achieved through comparison strongly indicate that inconsistency is prevalent among the estimates reported by the observers. Hence, an automated approach reporting the use of computer vision is suggested, thus transferring the manual inspections into objective monitored inspections
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O presente trabalho discute os terraços lagunares da margem leste da Laguna dos Patos, localizados próximo à cidade de Mostardas. Através desse estudo é apresentado um novo modelo evolutivo para os últimos 5.000 anos no Litoral Médio do Rio Grande do Sul. Novas ferramentas foram utilizadas pela primeira vez no estudo da planície costeira do Rio Grande do Sul. Com respeito a aquisição dos dados de subsuperfície foi utilizado com êxito um GPR (Ground Penetretion Radar). Na análise e interpretação dos dados foi feita uma tentativa de aplicação da estratigrafia de seqüências. Através do uso de um scanner foram elaborados perfis dos testemunhos de sondagem, identificando aspectos distintos na composição e porosidade de diferentes litologias. Outras ferramentas utilizadas constam de sensoriamento remoto, nivelamento altimétrico e batimétrico, vibracore e datação radiométrica. Dessa forma, foram definidas três feições de terraceamento lagunar de idade holocênica na área de estudo, cada uma relacionada a um nível lagunar distinto. Através dos dados obtidos em subsuperfície foi possível traçar um esboço cronoestratigráfico, bem como uma curva de variação relativa do nível lagunar para a região. Também, como resultado dos dados geológicos de superfície, associados a novas interpretações baseadas em fotografias aéreas e imagens de satélite, foi elaborado um mapa geológico atualizado.
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Esta dissertação tem como objetivo contribuir para o conhecimento sobre o teletrabalho, especialmente, sobre a dinâmica da realização do trabalho na esfera familiar, a partir do home-office telework. Investigou-se de que maneira os teletrabalhadores e sua família dão sentido aos dilemas, oportunidades e exigências da realização do trabalho no ambiente familiar, à luz de suas práticas discursivas. Para tanto, entrevistas semi-estruturadas foram realizadas com 25 teletrabalhadores e seus co-residentes e analisadas sob a ótica da análise de conteúdo. A pesquisa revela que quando a casa dá lugar às atividades profissionais do indivíduo, as relações entre as demandas pessoais, familiares e profissionais se tornam mais próximas, diluídas e entrelaçadas. A aproximação das esferas de trabalho e não-trabalho conduz a uma ruptura nas dinâmicas espaciais, temporais e psicológicas desses domínios, proporcionando aos indivíduos oportunidades de desenvolvimento pessoal. No entanto, as mudanças pelas quais os mesmos terão de passar apresentam potencialidades contraditórias. Ao mesmo tempo em que o teletrabalho proporciona uma oportunidade de integração com a família e flexibilidade para o melhor aproveitamento do tempo de trabalho e não-trabalho, a dificuldade de equilibrar dois mundos construídos sobre discursos diversos, o mundo da casa e da rua, pode despontar uma crise, dependendo do preparo de cada família para essa situação de trabalho. A fim de auxiliar na interpretação dos resultados, os pontos de conteúdo mais expressivos, os quais ilustram o exposto acima, foram expostos em quatro temas relacionados ao telehomework: espaço, flexibilidade de tempo, gênero e equilíbrio trabalho-vida pessoal.
Resumo:
A arquitetura do sistema de ajuda internacional passa por um processo de transformação, no qual as barreiras Norte e Sul tornam-se cada vez mais indefinidas, e a cooperação trilateral, que une as práticas opostas da cooperação Norte-Sul com a cooperação Sul-Sul, emerge como uma nova modalidade da cooperação técnica brasileira. Com o objetivo de compreender esse cenário, esta tese almeja identificar e contrastar as motivações e as práticas dos agentes da cooperação trilateral brasileira por meio de um estudo de caso comparado de dois projetos, desenvolvidos pela Agência Brasileira de Cooperação (ABC), no setor agrícola em Moçambique: o ProALIMENTOS, parceria entre a United States Agency for International Development (USAID- -Brasil) e ABC, e o ProSAVANA, parceria entre Japan International Cooperation Agency (JICA) e ABC. Para isso, a pesquisa parte dos pressupostos da actor-oriented approach para estabelecer uma análise multinível, que cria desta forma um elo entre o agente e a estrutura, a prática e a política, com um olhar sobre o contexto macro, meso e micro. A utilização da metodologia qualitativa aplicada a essa investigação combinou a técnica de participação observante com a técnica de análise documental, acrescentando à análise 59 entrevistas semiestruturadas, realizadas principalmente entre os meses de março e junho de 2013, em Moçambique. Os resultados da pesquisa indicam que, no caso do ProALIMENTOS, há ganhos em complementaridade e troca de conhecimento para as três contrapartes, porém há a sobreposição das práticas Norte-Sul de cooperação para o desenvolvimento internacional sobre as práticas da cooperação Sul-Sul. Enquanto que, no caso do ProSAVANA, não há qualquer ganho de complementariedade, uma vez que o Programa enfrenta desafios internos e externos. A falta de harmonização e coordenação técnica no âmbito interno intensificam o embate externo com os representantes da sociedade civil ao gerar constantes falhas de comunicação, o que coloca em xeque a própria continuidade do ProSAVANA. Por último, a pesquisa mostra que é necessário um maior comprometimento do governo brasileiro nos projetos de Cooperação Trilateral, uma vez que os resultados desses projetos podem impactar e afetar a credibilidade do Brasil como um novo prestador de ajuda internacional.