96 resultados para Augmented-Reality


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Virtual reality is a rapidly emerging technology, driven by the computer gaming industry. The maturity of the concept, combined with modern hardware, is delivering an experience which offers a useful commercial tool for industry and educators. This article discusses the uses of virtual reality within structural engineering and provides an understanding of how it can be incorporated easily and efficiently for design purposes and beyond.

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Inflammatory atherosclerosis is increased in subjects with type 1 diabetes mellitus (T1DM). Normally high-density lipoproteins(HDL) protect against atherosclerosis; however, in the presence of serum amyloid-A- (SAA-) related inflammation this propertymay be reduced. Fasting blood was obtained from fifty subjects with T1DM, together with fifty age, gender and BMI matchedcontrol subjects. HDL was subfractionated into HDL2 and HDL3 by rapid ultracentrifugation. Serum-hsCRP and serum-, HDL2-,and HDL3-SAA were measured by ELISAs. Compared to control subjects, SAA was increased in T1DM subjects, nonsignificantly inserum (P = 0.088), and significantly in HDL2 (P  = 0.003) and HDL3 (P  = 0.005). When the T1DM group were separated accordingto mean HbA1c (8.34%), serum-SAA and HDL3-SAA levels were higher in the T1DM subjects with HbA1c ≥ 8.34%, compared towhen HbA1c was <8.34% (P  < 0.05). Furthermore, regression analysis illustrated, that for every 1%-unit increase in HbA1c, SAAincreased by 20% and 23% in HDL2 and HDL3, respectively, independent of BMI. HsCRP did not differ between groups (P  > 0.05).This cross-sectional study demonstrated increased SAA-related inflammation in subjects with T1DM that was augmented by poorglycaemic control. We suggest that SAA is a useful inflammatory biomarker in T1DM, which may contribute to their increasedatherosclerosis risk.

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In this paper we propose a graph stream clustering algorithm with a unied similarity measure on both structural and attribute properties of vertices, with each attribute being treated as a vertex. Unlike others, our approach does not require an input parameter for the number of clusters, instead, it dynamically creates new sketch-based clusters and periodically merges existing similar clusters. Experiments on two publicly available datasets reveal the advantages of our approach in detecting vertex clusters in the graph stream. We provide a detailed investigation into how parameters affect the algorithm performance. We also provide a quantitative evaluation and comparison with a well-known offline community detection algorithm which shows that our streaming algorithm can achieve comparable or better average cluster purity.

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In recent years, sonification of movement has emerged as a viable method for the provision of feedback in motor learning. Despite some experimental validation of its utility, controlled trials to test the usefulness of sonification in a motor learning context are still rare. As such, there are no accepted conventions for dealing with its implementation. This article addresses the question of how continuous movement information should be best presented as sound to be fed back to the learner. It is proposed that to establish effective approaches to using sonification in this context, consideration must be given to the processes that underlie motor learning, in particular the nature of the perceptual information available to the learner for performing the task at hand. Although sonification has much potential in movement performance enhancement, this potential is largely unrealised as of yet, in part due to the lack of a clear framework for sonification mapping: the relationship between movement and sound. By grounding mapping decisions in a firmer understanding of how perceptual information guides learning, and an embodied cognition stance in general, it is hoped that greater advances in use of sonification to enhance motor learning can be achieved.

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This article examines the influence on the engineering design process of the primary objective of validation, whether it is proving a model, a technology or a product. Through the examination of a number of stiffened panel case studies, the relationships between simulation, validation, design and the final product are established and discussed. The work demonstrates the complex interactions between the original (or anticipated) design model, the analysis model, the validation activities and the product in service. The outcome shows clearly some unintended consequences. High fidelity validation test simulations require a different set of detailed parameters to accurately capture behaviour. By doing so, there is a divergence from the original computer-aided design model, intrinsically limiting the value of the validation with respect to the product. This work represents a shift from the traditional perspective of encapsulating and controlling errors between simulation and experimental test to consideration of the wider design-test process. Specifically, it is a reflection on the implications of how models are built and validated, and the effect on results and understanding of structural behaviour. This article then identifies key checkpoints in the design process and how these should be used to update the computer-aided design system parameters for a design. This work strikes at a fundamental challenge in understanding the interaction between design, certification and operation of any complex system.

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Although technology can facilitate improvements in performance by allowing us to understand, monitor and evaluate performance, improvements must ultimately come from within the athlete. The first part of this article will focus on understanding how perception and action relate to performance from two different theoretical viewpoints. The first will be predominantly a cognitive or indirect approach that suggests that expertise and decision-making processes are mediated by athletes accruing large knowledge bases that are built up through practice and experience. The second, and alternative approach, will advocate a more 'direct' solution, where the athlete learns to 'tune' into the relevant information that is embedded in their relationship with the surrounding environment and unfolding action. The second part of the article will attempt to show how emerging virtual reality technology is revealing new evidence that helps us understand elite performance. Possibilities of how new types of training could be developed from this technology will also be discussed. © 2014 Crown Copyright.

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This work presents a new general purpose classifier named Averaged Extended Tree Augmented Naive Bayes (AETAN), which is based on combining the advantageous characteristics of Extended Tree Augmented Naive Bayes (ETAN) and Averaged One-Dependence Estimator (AODE) classifiers. We describe the main properties of the approach and algorithms for learning it, along with an analysis of its computational time complexity. Empirical results with numerous data sets indicate that the new approach is superior to ETAN and AODE in terms of both zero-one classification accuracy and log loss. It also compares favourably against weighted AODE and hidden Naive Bayes. The learning phase of the new approach is slower than that of its competitors, while the time complexity for the testing phase is similar. Such characteristics suggest that the new classifier is ideal in scenarios where online learning is not required.

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This work proposes an extended version of the well-known tree-augmented naive Bayes (TAN) classifier where the structure learning step is performed without requiring features to be connected to the class. Based on a modification of Edmonds' algorithm, our structure learning procedure explores a superset of the structures that are considered by TAN, yet achieves global optimality of the learning score function in a very efficient way (quadratic in the number of features, the same complexity as learning TANs). We enhance our procedure with a new score function that only takes into account arcs that are relevant to predict the class, as well as an optimization over the equivalent sample size during learning. These ideas may be useful for structure learning of Bayesian networks in general. A range of experiments shows that we obtain models with better prediction accuracy than naive Bayes and TAN, and comparable to the accuracy of the state-of-the-art classifier averaged one-dependence estimator (AODE). We release our implementation of ETAN so that it can be easily installed and run within Weka.

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This article will analyze the interplay between capital movements and trade
in services as structured in World Trade Organization (WTO) law, and it will
assess the implications of the capital account liberalization for the freedom of
WTO Members to pursue their economic policies. Although the movement
of capital is largely confined to the domain of international financial or monetary
policy, it is regulated by WTO law due to its role in the process of
financial services liberalization, which generally requires liberalized capital
flows. From a legal perspective, the interplay between capital movements
and trade in services requires striking a delicate balance between the right
of market access and the parallel right of economic stability. Indeed, a liberalized
regime for capital movements could pose serious stability problems
during times of crisis. For this reason, it is necessary that Members are able
to derogate from their obligations and adopt emergency measures.
Regulating the movement of capital in the General Agreement on Trade in
Services (GATS) requires stretching the regulatory oversight of WTO law
over different aspects of international economic policy. Indeed, capital movements are a fundamental component of the balance of payments and have a
major role in shaping monetary, fiscal, and financial policies. This article will
analyze how the discipline provided by the GATS on capital movements will
affect not only trade in services, but also the Members’ policy space on
monetary and fiscal policy. The article will conclude that while the GATS offers enough policy space for the maintenance of financial stability, it does
not fully take into consideration the need of Members to control capital
movements in order to conduct monetary policies.