43 resultados para Distortion

em Deakin Research Online - Australia


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The thesis study was a cross-cultural comparison of the biopsychosocial predictors of body image perception and ideals among 294 Australian and 101 Fijian adolescents. The results demonstrated similarities across cultural groups, but parents, peers and the media were stronger influences for Fijians. These findings have implications for body image intervention programs.The portfolio presented a thorough review of the evidence for the cognitive behavioural therapy (CBT) treatment option for adolescents with major depressive disorder (MDD). Four case studies are presented.

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This thesis investigated the cracking and distortion of water jackets in engine blocks. The Taguchi method was utilized to improve production process and in doing so, reducing the scrap of water jacket cores by over 60%. Further, by altering core material and pouring temperature, casting distortion was improved.

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The distortion operator transforms 2D images in a manner similar to image warping or morphing, allowing source pixels to be mapped to any destination pixel. This operator can be implemented on current hardware, allowing at least one distortion per frame at interactive frame rates. Potential applications are numerous, but those described include re-mapping images for correct projection onto curved screens, correcting camera distortion from multiple sources simultaneously, and allowing constant time dynamic texturing and lighting of a static scene which is independent of geometric complexity.

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A sound designed on a synth that evokes science fiction styles alarm or panic. A good sound for TV, Cinema styled projects.

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The current educational context, with its emphasis upon outcomes and accountability, explicitly centralizes the work and role of the classroom teacher in the learning process. This paper argues that the teacher effectiveness debate increasingly represents an intensified incursion into the classroom in the belief that social and educational disadvantage may be overcome if improvements to the effectiveness of teachers and classroom instruction and practice occur. 

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Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed. In contrast to most related previous work, in this task we are constrained to use low-level spatiotemporally local motion features only. This particular challenge arises in many semiautomatic surveillance systems that alert a human operator to potential abnormalities in the scene. Low-level spatiotemporally local motion features are sparse (and thus require comparatively little storage space) and sufficiently powerful in the context of video abnormality detection to reduce the need for human intervention by more than 100-fold. This paper introduces three significant contributions. First, we describe a dense algorithm for perspective estimation, which uses motion features to estimate the perspective distortion at each image locus and then polls all such local estimates to arrive at the globally best estimate. Second, we also present an alternative coarse algorithm that subdivides the image frame into blocks and uses motion features to derive block-specific motion characteristics and constrain the relationships between these characteristics, with the perspective estimate emerging as a result of a global optimization scheme. Third, we report the results of an evaluation using nine large sets acquired using existing closed-circuit television cameras, not installed specifically for the purposes of this paper. Our findings demonstrate that both proposed methods are successful, their accuracy matching that of human labeling using complete visual data (by the constraints of the setup unavailable to our algorithms).

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Migration, Unemployment and Trade focuses on the issues of migration, welfare and unemployment in a trade and development framework. Several chapters of the book analyze the implications of internal labor mobility in a model designed to highlight its implications for regional welfare, urban unemployment, rural-urban dichotomy and structural adjustment. An important innovation in this work is the disaggregation of the economy and the use of separate utility functions to highlight non-homogeneity of preferences. The book also deals with international mobility of factors in different frameworks. In particular it concentrates on the highly emotive issue of legal and illegal migration. Thus this work incorporates interesting and important features of labor economics and factor mobility into trade and distortion theory.

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The sociocultural theory of body image disturbance states that Western women experience pressure from sources such as parents, peers, and the media to maintain thinness. Social comparison theory emphasises the role of comparing one's appearance to others. Body image disturbance; awareness and Internalization of sociocultural messages regarding thinness; and sibling social comparisons were examined in 41 closest-in-age sisters through self-report questionnaires. Sisters showed similar levels of body image disturbance and sociocultural awareness and internalization. Sibling comparisons were negative for younger sisters but neutral or positive for older sisters. Sociocultural internalization predicted body dissatisfaction in both sisters, and body size distortion in younger sisters. Negative sibling comparisons during teenage years predicted body size distortion and body dissatisfaction in younger sisters, and preference for thinness in older sisters.

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In his recently published book, The White Australia Policy, Keith Windschuttle accuses academic historians of errors of fact and judgement in their accounts of white Australia. This article examines these claims of exaggeration and distortion with particular reference to the nature and meaning of race, racism and representations of Asia in Australian history. The article rejects Winschuttle's sweeping claim that academic historians have sought to make Australia appear a much more racist society than the historical record would suggest.

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This study evaluated factors related to the perceptual disturbances of body image. Using a digital body image computer program, 191 participants (107 women, 82 men) adjusted an image of their body to the perceived actual size at five body regions; chest, waist, hips, thighs and calves. A neutral object (a vase) was also adjusted to partial out the level of perceptual distortion present with a neutral object. Men and women overestimated the size of the neutral object and their body image. Among women, overestimation was primarily predicted by high levels of depression, and media and peer influences to be thinner and increase muscles. Among men, overestimation was predicted by high BMI, media influences to lose weight and increase muscles, and peer influences to increase muscles. These findings suggest that perceptual accuracy of body image is primarily predicted by biopsychosocial influences.

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A study of possibilities given by the developed Cellular Automata–Finite Element (CAFE) multi-scale model for prediction of the initiation and propagation of micro-shear bands and shear bands in metallic materials subjected to plastic deformation is described in the paper. Particular emphasis in defining the criterion for initiation of micro-shear and shear bands, as well as in defining the transition rules for the cellular automata, is put on accounting for the physical aspects of those phenomena occurring in two different scales in the material. The proposed approach led to the creation of the real multi-scale model of strain localization. This model predicts material behavior in various thermo-mechanical processes. Selected examples of applications of the developed model to simulations of metal forming processes, which involve strain localization, are presented in the paper. An approach based on the Smoothed Particle Hydrodynamic, which allows to overcome difficulties with remeshing in the traditional CAFE method, is presented in the paper as well. In this approach remeshing becomes possible and mesh distortion, which limits application of the CAFE method to simple deformation processes, is eliminated.

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A new two-level real-time vehicle detection method is proposed in order to meet the robustness and efficiency requirements of real world applications. At the high level, pixels of the background image are classified into three categories according to the characteristics of Red, Green, Blue (RGB) curves. The robustness of the classification is further enhanced by using
line detection and pattern connectivity. At the lower level, an exponential forgetting algorithm with adaptive parameters for different categories is utilised to calculate the background and reduce the distortion by the small motion of video cameras. Scene tests show that the proposed method is more robust and faster than previous methods, which is very suitable for real-time vehicle detection in outdoor environments, especially concerning locations where the level of illumination changes frequently and speed detection is important.