5,690 research outputs found
On the coexistence and complementarity of Chinese translation methods of English metrical poetry
The Chinese translation of English metrical poetry has a history of more than one
hundred years, but it is still controversial on how to translate English metrical poetry into
Chinese. Chinese translators have hitherto devised three methods to render English
metrical poetry: sinolization, liberalization, and poetic form transplantation. Translators
practicing the methods of sinolization and liberalization belong to the group in favor of
spiritual resemblance. Translators who follow the method of poetic form transplantation
belong to the group in favor of formal resemblance. It is quite obvious that the two
groups have disagreement on the translation standard or guiding principle. Actually the
translation standards of the two groups can coexist, and the translation methods under the
guidance of these different translation standards can coexist and complement each other.
It is impractical and impossible to use one Chinese translation method or standard to
guide all the Chinese translation practice, and the diverse Chinese translation methods of
English metrical poetry can coexist and complement each other in the foreseeable future
On the probability distribution of stock returns in the Mike-Farmer model
Recently, Mike and Farmer have constructed a very powerful and realistic
behavioral model to mimick the dynamic process of stock price formation based
on the empirical regularities of order placement and cancelation in a purely
order-driven market, which can successfully reproduce the whole distribution of
returns, not only the well-known power-law tails, together with several other
important stylized facts. There are three key ingredients in the Mike-Farmer
(MF) model: the long memory of order signs characterized by the Hurst index
, the distribution of relative order prices in reference to the same
best price described by a Student distribution (or Tsallis' -Gaussian), and
the dynamics of order cancelation. They showed that different values of the
Hurst index and the freedom degree of the Student distribution
can always produce power-law tails in the return distribution with
different tail exponent . In this paper, we study the origin of the
power-law tails of the return distribution in the MF model, based on
extensive simulations with different combinations of the left part for
of . We find that power-law
tails appear only when has a power-law tail, no matter has a
power-law tail or not. In addition, we find that the distributions of returns
in the MF model at different timescales can be well modeled by the Student
distributions, whose tail exponents are close to the well-known cubic law and
increase with the timescale.Comment: 16 Elsart pages including 1 table and 5 figure
Empirical properties of inter-cancellation durations in the Chinese stock market
Order cancellation process plays a crucial role in the dynamics of price
formation in order-driven stock markets and is important in the construction
and validation of computational finance models. Based on the order flow data of
18 liquid stocks traded on the Shenzhen Stock Exchange in 2003, we investigate
the empirical statistical properties of inter-cancellation durations in units
of events defined as the waiting times between two consecutive cancellations.
The inter-cancellation durations for both buy and sell orders of all the stocks
favor a -exponential distribution when the maximum likelihood estimation
method is adopted; In contrast, both cancelled buy orders of 6 stocks and
cancelled sell orders of 3 stocks prefer Weibull distribution when the
nonlinear least-square estimation is used. Applying detrended fluctuation
analysis (DFA), centered detrending moving average (CDMA) and multifractal
detrended fluctuation analysis (MF-DFA) methods, we unveil that the
inter-cancellation duration time series process long memory and multifractal
nature for both buy and sell cancellations of all the stocks. Our findings show
that order cancellation processes exhibit long-range correlated bursty
behaviors and are thus not Poissonian.Comment: 14 pages, 7 figures and 5 table
An investigation of the orthogonal outputs from an on-rotor MEMS accelerometer for reciprocating compressor condition monitoring
With rapid development in electronics and microelectromechanical systems (MEMS) technology, it becomes possible and attractive to monitor rotor dynamics by directly installing MEMS accelerometers on rotors. This paper studies the mathematical modelling of the orthogonal outputs from an on-rotor MEMS accelerometer and proposes a method to eliminate the gravitational acceleration projected on the measurement axes. This is achieved by shifting the output in the normal direction by π/2π/2 using a Hilbert transform and then combining it with the output of the tangential direction. With further compensation of the combined signal in the frequency domain, the tangential acceleration of the rotor is reconstructed to a high degree of accuracy. Experimental results show that the crankshaft tangential acceleration of a reciprocating compressor, obtained by the proposed method, can discriminate clearly between different discharge pressures and hence can allow common leakage faults to be detected, located and diagnosed for online condition monitoring purposes
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