956 resultados para Grey, Charles Grey, Earl, 1764-1845.


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Before the emergence of coordination of production by firms, manufacturers and merchants traded in markets with asymmetric information. Evidence suggests that the practical knowledge thus gained by these agents was well in advance of contemporary political economists and anticipates twentieth-century developments in the economics of information. Charles Babbage, who regarded merchants and manufacturers as the chief sources of reliable economic data, drew on this knowledge as revealed in the evidence of manufacturers and merchants presented to House of Commons select committees to make an important pioneering contribution to the theory of production and exchange with information asymmetries.

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Grey Level Co-occurrence Matrix (GLCM), one of the best known tool for texture analysis, estimates image properties related to second-order statistics. These image properties commonly known as Haralick texture features can be used for image classification, image segmentation, and remote sensing applications. However, their computations are highly intensive especially for very large images such as medical ones. Therefore, methods to accelerate their computations are highly desired. This paper proposes the use of programmable hardware to accelerate the calculation of GLCM and Haralick texture features. Further, as an example of the speedup offered by programmable logic, a multispectral computer vision system for automatic diagnosis of prostatic cancer has been implemented. The performance is then compared against a microprocessor based solution.

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The use of image processing techniques to assess the performance of airport landing lighting using images of it collected from an aircraft-mounted camera is documented. In order to assess the performance of the lighting, it is necessary to uniquely identify each luminaire within an image and then track the luminaires through the entire sequence and store the relevant information for each luminaire, that is, the total number of pixels that each luminaire covers and the total grey level of these pixels. This pixel grey level can then be used for performance assessment. The authors propose a robust model-based (MB) featurematching technique by which the performance is assessed. The development of this matching technique is the key to the automated performance assessment of airport lighting. The MB matching technique utilises projective geometry in addition to accurate template of the 3D model of a landing-lighting system. The template is projected onto the image data and an optimum match found, using nonlinear least-squares optimisation. The MB matching software is compared with standard feature extraction and tracking techniques known within the community, these being the Kanade–Lucus–Tomasi (KLT) and scaleinvariant feature transform (SIFT) techniques. The new MB matching technique compares favourably with the SIFT and KLT feature-tracking alternatives. As such, it provides a solid foundation to achieve the central aim of this research which is to automatically assess the performance of airport lighting.

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Proper application of stable isotopes (e. g., delta N-15 and delta C-13) to food web analysis requires an understanding of all nondietary factors that contribute to isotopic variability. Lipid extraction is often used during stable isotope analysis (SIA), because synthesized lipids have a low delta C-13 and can mask the delta C-13 of a consumer's diet. Recent studies indicate that lipid extraction intended to adjust delta C-13 may also cause shifts in delta N-15, but the magnitude of and reasons for the shift are highly uncertain. We examined a large data set (n = 854) for effects of lipid extraction (using Bligh and dyer's [ 1959] chloroform-methanol solvent mixtures) on the delta N-15 of aquatic consumers. We found no effect of chemically extracting lipids on the delta N-15 of whole zooplankton, unionid mussels, and fish liver samples, and found a small increase in fish muscle delta N-15 of similar to 0.4%. We also detected a negative relationship between the shift in delta N-15 following extraction and the C:N ratio in muscle tissue, suggesting that effects of extraction were greater for tissue with lower lipid content. As long as appropriate techniques such as those from Bligh and dyer (1959) are used, effects of lipid extraction on delta N-15 of aquatic consumers need not be a major consideration in the SIA of food webs.

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With the impetus that has led recent studies on Latin American Modernism to a reevaluation of the sense of cultural fluxes from the modernity capitals to its peripheries –discarding categories such as “influence”, “exotism” and “ivory tower”, stereotypes that have clouded critical understanding of this aesthetics for decades- the present study intends to investigate a persistent practice of the main writers of the movement. This practice is modernist pictorial criticism, a genre that will be approached through the analysis of an unknown corpus: the seven chronicles Rubén Darío published in the journal La Prensa on occasion of the third art exposition of the Ateneo de Buenos Aires. Our hypothesis is that the rare creators of images portrayed by Darío by the end of 1895 work as a visual counterpoint of the eccentric writers’ biographical sketches that a year later will be part of the fundamental volume Los raros (1896). In this early “salon”, which we reproduce in its entirety, accompanied by explanatory notes, the leader of Modernism rehearses and consolidates his transcultural work with the universal tradition –now applied to the Salons (1845-1860) by Charles Baudelaire and to the monumental project by John Ruskin in Modern painters (1843-1860)- to legitimate, from another subgenre of Modernist criticism, a new figure of the critic, in dissent with the Enlightenment model of the writer.

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The eng-genes concept involves the use of fundamental known system functions as activation functions in a neural model to create a 'grey-box' neural network. One of the main issues in eng-genes modelling is to produce a parsimonious model given a model construction criterion. The challenges are that (1) the eng-genes model in most cases is a heterogenous network consisting of more than one type of nonlinear basis functions, and each basis function may have different set of parameters to be optimised; (2) the number of hidden nodes has to be chosen based on a model selection criterion. This is a mixed integer hard problem and this paper investigates the use of a forward selection algorithm to optimise both the network structure and the parameters of the system-derived activation functions. Results are included from case studies performed on a simulated continuously stirred tank reactor process, and using actual data from a pH neutralisation plant. The resulting eng-genes networks demonstrate superior simulation performance and transparency over a range of network sizes when compared to conventional neural models. (c) 2007 Elsevier B.V. All rights reserved.