3 resultados para ecological metrics

em WestminsterResearch - UK


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The advantages a DSL and the benefits its use potentially brings imply that informed decisions on the design of a domain specific language are of paramount importance for its use. We believe that the foundations of such decisions should be informed by analysis of data empirically collected from systems to highlight salient features that should then form the basis of a DSL. To support this theory, we describe an empirical study of a large OSS called Barcode, written in C, and from which we collected two well-known 'slice' based metrics. We analyzed multiple versions of the system and sliced its functions in three separate ways (i.e., input, output and global variables). The purpose of the study was to try and identify sensitivities and traits in those metrics that might inform features of a potential slice-based DSL. Results indicated that cohesion was adversely affected through the use of global variables and that appreciation of the role of function inputs and outputs can be revealed through slicing. The study presented is motivated primarily by the problems with current tools and interfaces experienced directly by the authors in extracting slicing data and the need to promote the benefits that analysis of slice data and slicing in general can offer.

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Technocratic attitudes suggest that decisions about environmental policy should be led by scientific experts. Such decisions, it is expected, will be more rational than any arrived at by a democratic mediation between the narrow, short-term interests and uninformed preferences of the general public. Within green political theory, deliberative democracy has emerged as the dominant repost to technocracy, offering an account of how democratic polities can deal with complex scientific and technological decisions through the emergence of communicative rationality. This article argues that neither appeals to expert knowledge, nor communicative rationality, are likely to deliver the optimal green outcomes that proponents suggest, but rather will cover up the inevitable disagreements over environmental policy making. Instead the article suggests that more ecologically-sensitive and democratic decision making about complex scientific and technological issues can emerge if we acknowledge the differently embodied perspectives of decision-makers – from scientists to citizens. This prioritises democratic means over green ends, yet incorporates the environment at the beginning of the decision-making process. The article aims to sketch out the theoretical and practical implications of such an embodied turn for responding to the anti-democratic tendencies of environmental technocracy.

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Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods. This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state–of–the–art registration methodologies used in a variety of targeted applications.