957 resultados para code generator
Resumo:
Raymond Saleilles (1855-1912) és considerat pels comparatistes com pare del dret comparat modern. De fet fou el màxim responsable de l'organització del primer congrés internacional de dret comparat a París el 1900. L'època marcada per la internacionalització dels intercanvis, la crisi del mètode jurídic francès i el repte de la codificació alemanya i suïssa motivà alguns juristes a buscar noves formes d'estudiar el dret. Saleilles defensava pel dret comparat un mètode, un objecte i un fi propis i autònoms diferents dels que fins ara tenien la dogmàtica jurídica o l'estudi de la legislació estrangera. El mètode tenia els seus fonaments en la sociologia i la història. L'objectiu del dret comparat havia de ser la construcció d'un ideal "droit commun de l'humanité civilisée". Aquest dret comú havia de ser construït no només per la doctrina sinó també per la jurisprudència i el legislador.
Resumo:
In this paper I provide a critical discussion of Foucault's work on government and governmentality. I argue that geographers have tended to overlook the ways in which practices of self-government and subjectification are performed in relation to programmes of government, and suggest that they should examine the technical devices which are embedded in networks of government. Drawing upon these observations I suggest how geographers might proceed, tracing the geographies of a specific artefact: the British government's 1958 Motorway Code. I examine how the code was designed to serve as a technology of government that could shape the conduct of fairly mobile and distant subjects, enabling them to govern their conduct and the movements of their vehicles.
Resumo:
In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.
Resumo:
In this paper we focus on the one year ahead prediction of the electricity peak-demand daily trajectory during the winter season in Central England and Wales. We define a Bayesian hierarchical model for predicting the winter trajectories and present results based on the past observed weather. Thanks to the flexibility of the Bayesian approach, we are able to produce the marginal posterior distributions of all the predictands of interest. This is a fundamental progress with respect to the classical methods. The results are encouraging in both skill and representation of uncertainty. Further extensions are straightforward at least in principle. The main two of those consist in conditioning the weather generator model with respect to additional information like the knowledge of the first part of the winter and/or the seasonal weather forecast. Copyright (C) 2006 John Wiley & Sons, Ltd.