2 resultados para Efficient capital allocation

em Repositório Institucional da Universidade Federal do Rio Grande do Norte


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The tertiary sector has been (re)defining and (re)qualifying, in an impacting way, the urban spaces in the cities, introducing new elements for the discussion of the relationship center/periphery. In Natal, as an inducing economic activity of its development, it conforms to the new needs of the capital, expanding, being materialized through several processes and spatial forms. We aim at analyzing one of those processes, which has taken its Northern Administrative Area to (re)define the design of its urban space, through the actions developed by the agents involved with the spatialization of the tertiary activities, at the same time as it redimensions its role as a periphery of Natal, contributing to the study of the recent and growing transformations of the Brazilian capitals. The studied district corresponds to 39.4% of the municipal area and, until recently, was composed by precarious reproduction spaces, unprovided of relevant economical activities. After the boom of the development of extensive housing complexes by SFH/BNH, the area, gradually stopped being a dependent area, and it imposed itself as an economically participant region, with the increase of the trade and services sectors, as well as a favorable place for the appearance of new activities. Its reflexes are noticeable in the achieved spatial configuration. As the main road to induct changes, Dr. João Medeiros Filho Avenue presents these new tendencies in the production of the intraurban space, concentrating the largest goods and services equipments of the area, through investments of the private and public sectors, which guarantee the capital allocation for the construction of a new centrality

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The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.