789 resultados para Coaxial cable memory.


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O objetivo do presente trabalho é o estudo do comportamento, em termos de freqüências naturais de estruturas de torres estaiadas, para diversas situações de serviço. Para isso criou-se uma formulação para a determinação dessas freqüências, utilizando o método da matriz de transferência. O procedimento consiste na discretização da estrutura em elementos de barras, massas discretas, molas e amortecedores viscosos, para a representação da estrutura. Com relação aos cabos da torre estaiada, desenvolveu-se uma expressão que nos fornece a rigidez completa dos mesmos, apoiados nos extremos, com amortecimento viscoso e as propriedades físicas e geométricas uniformes. Além disso, os cabos podem ser inclinados e sujeitos à excitação horizontal harmônica no apoio superior. Nesse caso, considera-se uma deformada parabólica do cabo na posição de equilíbrio estático, e por outro lado, os deslocamentos dinâmicos são considerados pequenos. A rigidez do cabo é válida para um ângulo de inclinação que varia de zero (0) a noventa (90) graus. Esse método é aplicável a microcomputadores devido a pouca memória empregada no processamento de dados. Com esse intuito, foi elaborado um programa para microcomputadores de 16 bits, que possibilita o estudo da estrutura da torre sobre o efeito de flexão pura, torção pura ou acoplamento de ambos. Exemplos numéricos de torres estaiadas e do comportamento da rigidez de cabos foram desenvolvidos para as mais diversas situações de cálculo.

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The present work proposes an investigation of the treatment given to memory in Pinter’s latest play, Ashes to Ashes, and of its function in the development of Pinter’s work. In order to do that, different aspects of the construction of meaning in the theatre are analysed, so that the specificity of its reception is determined. A survey of techniques used to present information, time and space in the theatre is made. The analytical drama, the history drama, and the theatre of the absurd are defined. After that, the evolution of the author’s work is analysed to determine what characterises Pinter’s work, while at the same time determining how his treatment of themes like menace, memory, and political oppression of the individual has evolved. Finally, a detailed survey of the apparently disconnected elements that are mentioned in Ashes to Ashes is made. The intertextual analysis allied to a study of the analytical form as used in this play enables the discovery of several layers of meaning. Through the connection established between the Holocaust and man’s fall followed by expulsion from Eden, Pinter examines the use of memory as a way of dealing with personal and collective responsibility and guilt. It is through the recovery of memory (also through writing) that the present can establish a critical and responsible relation with the past.

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Chambers (1998) explores the interaction between long memory and aggregation. For continuous-time processes, he takes the aliasing effect into account when studying temporal aggregation. For discrete-time processes, however, he seems to fail to do so. This note gives the spectral density function of temporally aggregated long memory discrete-time processes in light of the aliasing effect. The results are different from those in Chambers (1998) and are supported by a small simulation exercise. As a result, the order of aggregation may not be invariant to temporal aggregation, specifically if d is negative and the aggregation is of the stock type.

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This paper investigates the presence of long memory in financiaI time series using four test statistics: V/S, KPSS, KS and modified R/S. There has been a large amount of study on the long memory behavior in economic and financiaI time series. However, there is still no consensus. We argue in this paper that spurious short-term memory may be found due to the incorrect use of data-dependent bandwidth to estimating the longrun variance. We propose a partially adaptive lag truncation procedure that is robust against the presence of long memory under the alternative hypothesis and revisit several economic and financiaI time series using the proposed bandwidth choice. Our results indicate the existence of spurious short memory in real exchange rates when Andrews' formula is employed, but long memory is detected when the proposed lag truncation procedure is used. Using stock market data, we also found short memory in returns and long memory in volatility.

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Em economias caracterizadas por choques agregados e privados, mostramos que a alocação ótima restrita pode depender de forma não-trivial dos choques agregados. Usando versões dos modelos de Atkeson e Lucas (1992) e Mirrlees (1971) de dois períodos, é mostrado que a alocação ótima apresenta memória com relação aos choques agregados mesmo eles sendo i.i.d. e independentes dos choques individuais, quando esses últimos choques não são totalmente persistentes. O fato de os choques terem efeitos persistentes na alocação mesmo sendo informação pública, foi primeiramente apresentado em Phelan (1994). Nossas simulações numéricas indicam que esse não é um resultado pontual: existe uma relação contínua entre persistência de tipos privados e memória do choque agregado.

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This paper investigates the relationship between memory and the essentiality of money. We consider a random matching economy with a large finite population in which commitment is not possible and memory is limited in the sense that only a fraction m E(0; 1) of the population has publicly observable histories. We show that no matter how limited memory is, there exists a social norm that achieves the first best regardless of the population size. In other words, money can fail to be essential irrespective of the amount of memory in the economy. This suggests that the emphasis on limited memory as a fundamental friction for money to be essential deserves a deeper examination.

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The town of Nova Friburgo, in Brazil, was founded in 1820 by swiss immigrants who, as often happens in the majority of migratory flows, crossed the ocean in search of better life conditions. The scope of this paper is to trail the path of a swiss immigrant called Marianne Joset Salusse and then follow on to investigate the mechanisms involved in elaborating family memory and public memory around this woman who would become a symbol of immigration to this town. Thus a series of interviews were held with her descendants, which were fundamental for the understanding of current representations and the main elements which constitute the collective memory around Marianne. Besides oral sources, we had recourse to written documents which allowed a retrieval of relevant information about her life. More than simply adding information, written sources allowed for a more profound analysis of oral accounts, unravelling as well as unveiling selective procedures peculiar to memory construction (Pollak, 1989;1992).

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A well–established fact in monetary theory is that a key ingredient for the essentiality of money is its role as a form of memory. In this paper we study a notion of memory that includes information about an agent’s past actions and trading opportunities but, in contrast to Kocherlakota (1998), does not include information about the past actions and trading opportunities of an agent’s past partners. We first show that the first–best can be achieved with memory even if it only includes information about an agent’s very recent past. Thus, money can fail to be essential even if memory is minimal. We then establish, more interestingly, that if information about trading opportunities is not part of an agent’s record, then money can be better than memory. This shows that the societal benefit of money lies not only on being a record of past actions, but also on being a record of past trading opportunities, a fact that has been overlooked by the monetary literature.

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This paper derives the spectral density function of aggregated long memory processes in light of the aliasing effect. The results are different from previous analyses in the literature and a small simulation exercise provides evidence in our favour. The main result point to that flow aggregates from long memory processes shall be less biased than stock ones, although both retain the degree of long memory. This result is illustrated with the daily US Dollar/ French Franc exchange rate series.

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We study constrained efficient aggregate risk sharing and its consequence for the behavior of macro-aggregates in a dynamic Mirrlees’s (1971) setting. Privately observed idiosyncratic productivity shocks are assumed to be independent of i.i.d. publicly observed aggregate shocks. Yet, private allocations display memory with respect to past aggregate shocks, when idosyncratic shocks are also i.i.d.. Under a mild restriction on the nature of optimal allocations the result extends to more persistent idiosyncratic shocks, for all but the limit at which idiosyncratic risk disappears, and the model collapses to a pure heterogeneity repeated Mirrlees economy identical to Werning [2007]. When preferences are iso-elastic we show that an allocation is memoryless only if it displays a strong form of separability with respect to aggregate shocks. Separability characterizes the pure heterogeneity limit as well as the general case with log preferences. With less than full persistence and risk aversion different from unity both memory and non-separability characterize optimal allocations. Exploiting the fact that non-separability is associated with state-varying labor wedges, we apply a business cycle accounting procedure (e.g. Chari et al. [2007]) to the aggregate data generated by the model. We show that, whenever risk aversion is great than one our model produces efficient counter-cyclical labor wedges.

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Convex combinations of long memory estimates using the same data observed at different sampling rates can decrease the standard deviation of the estimates, at the cost of inducing a slight bias. The convex combination of such estimates requires a preliminary correction for the bias observed at lower sampling rates, reported by Souza and Smith (2002). Through Monte Carlo simulations, we investigate the bias and the standard deviation of the combined estimates, as well as the root mean squared error (RMSE), which takes both into account. While comparing the results of standard methods and their combined versions, the latter achieve lower RMSE, for the two semi-parametric estimators under study (by about 30% on average for ARFIMA(0,d,0) series).

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This paper studies the electricity hourly load demand in the area covered by a utility situated in the southeast of Brazil. We propose a stochastic model which employs generalized long memory (by means of Gegenbauer processes) to model the seasonal behavior of the load. The model is proposed for sectional data, that is, each hour’s load is studied separately as a single series. This approach avoids modeling the intricate intra-day pattern (load profile) displayed by the load, which varies throughout days of the week and seasons. The forecasting performance of the model is compared with a SARIMA benchmark using the years of 1999 and 2000 as the out-of-sample. The model clearly outperforms the benchmark. We conclude for general long memory in the series.