111 resultados para Fuzzy Clustering


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Over time Belfast has been well researched as a site of ethnosectarian conflict, segregation and fear see (Boal et al 1976) and (Gaffiken and Morrisey 2011). The study of socio-spatial patterns of ‘ethnocracy’ is useful, but this article will argue how it is equally important to understand local forms of urban restructuring in terms of global processes that are linked to neoliberalism. To better understand the neoliberal urbanisation of Belfast this article is organised into two parts. The first part will demonstrate how the Northern Ireland State has sought legitimacy in the free market as ‘therapy’ for the production of neutral socio-spatial formations such as the Cathedral Quarter. Secondly it will examine this performance of neoliberal urbanism, as it ‘actually exists’ and demonstrate how market-led renewal has been extended through the clustering and non-sectarian interests, ‘soft’ arrangements of urban governance, cultural re-branding strategies, economic development incentives, and the development of various flagship projects. Critically this place-based grounding of neoliberalism is useful, as it also allows for the contestations of neoliberal urbanism to become real rather than just theoretical. The second part of the article will draw attention to the responses of local, and sometimes marginal, interests that have looked to challenge, adapt and, at times, divert the extension of market-led renewal. To be clear, this article does not want to overstate the performance of such interests. Nor does it want to claim that they significantly impact or obstruct the wider neoliberal urbanisation of Belfast. Instead it is interested in their behaviours and their different methods of working to explore what may be constituted as ‘alternative’, at least in the locality of the Cathedral Quarter. By studying how and why these interests have responded to the extension of neoliberal urbanism over time, it may just be possible to provide a better platform to articulate what more progressive forms of urban resistance might look like.

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The evaporator is an important component in the Organic Rankine Cycle (ORC)-based Waste Heat Recovery (WHR) system since the effective heat transfer of this device reflects on the efficiency of the system. When the WHR system operates under supercritical conditions, the heat transfer mechanism in the evaporator is unpredictable due to the change of thermo-physical properties of the fluid with temperature. Although the conventional finite volume model can successfully capture those changes in the evaporator of the WHR process, the computation time for this method is high. To reduce the computation time, this paper develops a new fuzzy based evaporator model and compares its performance with the finite volume method. The results show that the fuzzy technique can be applied to predict the output of the supercritical evaporator in the waste heat recovery system and can significantly reduce the required computation time. The proposed model, therefore, has the potential to be used in real time control applications.

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Social networks generally display a positively skewed degree distribution and higher values for clustering coefficient and degree assortativity than would be expected from the degree sequence. For some types of simulation studies, these properties need to be varied in the artificial networks over which simulations are to be conducted. Various algorithms to generate networks have been described in the literature but their ability to control all three of these network properties is limited. We introduce a spatially constructed algorithm that generates networks with constrained but arbitrary degree distribution, clustering coefficient and assortativity. Both a general approach and specific implementation are presented. The specific implementation is validated and used to generate networks with a constrained but broad range of property values. © Copyright JASSS.