206 resultados para Adaptive music


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In Northern Ireland of the mid-1990s, many were caught off-guard by the comet-like arrival of a previously unarticulated Ulster Scots identity, replete with its own folk traditions. The article exploits the author’s position as Traditional Arts Officer of the Arts Council of Northern Ireland from 1998 until 2003 to offer an auto-ethnographic reflection on the literature on cultural politics in Northern Ireland since the outbreak of the Troubles, informed by extensive fieldwork with arts administrators and with contemporary Ulster Scots musicians. The article gives a close reading and historical contextualisation of the Ulster-Scots musical revue On Eagle's Wing, which was developed during this period. The article uses the concept of "suture" articulated by Lacan and developed by Laclau, Mouffe, and Žižek to explain both the potential for Ulster Scots culture to enter political discourse out of a seeming vacuum and its subsequent difficulties, offering an original interpretation of the role of culture in the contemporary trajectory of Northern Ireland politics.

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Arts development policies increasingly tie funding to the potential of arts organisations to effectively deliver an array of extra-artistic social outcomes. This paper reports on the difficulties of this work in Northern Ireland, where the arts sector, and in particular the so-called 'traditional arts', have been drawn into a politically ambiguous discourse centered on the concepts of 'mutual understanding' and, more recently, 'social capital.' The paper traces the recent history of these policies and the difficulties in evaluating the social outcomes of arts programs. The use of the term 'social capital' in the work of Putnam and Bourdieu is considered. The paper argues, through a rereading of Bourdieu's articulation of the 'forms' of capital and Eagleton's 'ideology of the aesthetic,' the concept of social capital can be released from its current neoliberal trappings by imagining a reconnection of the concepts of 'capital' and 'the aesthetic.'

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A new search-space-updating technique for genetic algorithms is proposed for continuous optimisation problems. Other than gradually reducing the search space during the evolution process with a fixed reduction rate set ‘a priori’, the upper and the lower boundaries for each variable in the objective function are dynamically adjusted based on its distribution statistics. To test the effectiveness, the technique is applied to a number of benchmark optimisation problems in comparison with three other techniques, namely the genetic algorithms with parameter space size adjustment (GAPSSA) technique [A.B. Djurišic, Elite genetic algorithms with adaptive mutations for solving continuous optimization problems – application to modeling of the optical constants of solids, Optics Communications 151 (1998) 147–159], successive zooming genetic algorithm (SZGA) [Y. Kwon, S. Kwon, S. Jin, J. Kim, Convergence enhanced genetic algorithm with successive zooming method for solving continuous optimization problems, Computers and Structures 81 (2003) 1715–1725] and a simple GA. The tests show that for well-posed problems, existing search space updating techniques perform well in terms of convergence speed and solution precision however, for some ill-posed problems these techniques are statistically inferior to a simple GA. All the tests show that the proposed new search space update technique is statistically superior to its counterparts.

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High-speed field-programmable gate array (FPGA) implementations of an adaptive least mean square (LMS) filter with application in an electronic support measures (ESM) digital receiver, are presented. They employ "fine-grained" pipelining, i.e., pipelining within the processor and result in an increased output latency when used in the LMS recursive system. Therefore, the major challenge is to maintain a low latency output whilst increasing the pipeline stage in the filter for higher speeds. Using the delayed LMS (DLMS) algorithm, fine-grained pipelined FPGA implementations using both the direct form (DF) and the transposed form (TF) are considered and compared. It is shown that the direct form LMS filter utilizes the FPGA resources more efficiently thereby allowing a 120 MHz sampling rate.

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An equation is presented for calculating the fairness of dynamically adaptive packet schedulers such as dynamic weighted fair queuing (DWFQ). The fairness of static packet schedulers such as weighted fair queue (WFQ) can be found using the widely accepted Worst-case Fair Index. The fairness of DWFQ can be measured using an Adapted Worst-case Fairness Index (AWFI). The AWFI enables a direct comparison of fairness properties of the DWFQ or other dynamically adaptive schedulers with static/non-adaptive schedulers.