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As photoelectric polarimeters were developed in the 1950s and 1960s, their application to stars known to be photometric and/or spectroscopic variables was natural and automatic Each type of stellar variable was examined, and frequently found to exhibit polarimetric signals Kris Serkowski was key to the promotion of such studies, and he provided many rsts in the establishment of polarimetry of variable stars (see, for example, Serkowski, 1971) It should also be put on record that he brought to the West knowledge of the substantial polarimetric researches undertaken by astronomers in the East Intrinsic polarization associated with stars can only be produced if symmetry is broken This would be the case if a star possesses a non-spherical radiation eld as the result of some geometric distortion, or if it has a non-uniform photospheric surface brightness, say in the form of spots, or there is clumpiness in the outer atmosphere where scattering takes place Any polarimetric variability, as with any other observational diagnostic, is usually investigated for periodicity Care must be exercised, however, in using periods obtained by other means to act as the template for exploration to see if polarimetry follows the same period In a simple exercise of onsidering the effects of a spot traversing the stellar disc and producing a rotational modulation, Clarke (2003) has shown the differences in periodograms that may result according to whether photometry, radial velocity or polarimetry are used as the measurement diagnostic Analysis of the signals from the three basic observations revealed the dangers of simply using a single measurement parameter alone to investigate stellar temporal cyclic behaviour, and how analysis of polarimetric data is likely to provide strong power in the harmonics of the fundamental rotational period.

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Using Barcode printer for ASPNET Control to generate, create A transient solution to a queueing model is a function of a time index, either continuous or discrete, de ned over an in nite range t is very dif cult to nd an explicit, closed-form solution if the system is not Markovian For a Markov model, the probabilistic evolution of the system state is governed by the Chapman Kolmogorov equation In the presence of long-range dependence, the model is essentially non-Markovian So the Chapman Kolmogorov equation does not hold anymore Due to this and other dif culties involved in transient analysis, most of the existing work on QoS impact of long-range dependence is limited to asymptotic analysis in the steady state [4, 6, 9, 10, 15 17] (see also s 4 10 in this volume).

Following the observational search by Angel, Novick, Vanden Bout, et al (1969), for the presence of polarization of X-rays in the 6 18 keV range from Sco X-1, Angel (1969) demonstrated that polarization of a few per cent may arise for nonspherically symmetric thermal X-ray ources as a result of Thomson scattering Many X-ray binary objects have been investigated for optical polarization signatures with positive outcomes Reports by Nikulin, Kuvshinov, Severny (1971) and Gnedin & Shulov (1971) suggested that the X-ray source Sco X-1 displayed substantial circular polarization ( 1%) This was later followed by a discussion by Dolginov, Gnedin & Silant ev (1973) on some astrophysical reasons why some other observers might have obtained null results because of wavelength passband differences By improving accuracies by an order of magnitude to 005%, Kemp & Wolstencroft (1972) and Illing & Martin (1972) showed that the early claims were spurious With their higher level of detectivity and accuracy, a null result was obtained Kemp (1972), however, still raised questions about the presence of a circular polarization He made special checks on the possible disturbing in uence of sky background contamination affecting the observations He also noted that Gnedin & Shulov (1971) referred to the effect occurring in the red, and at a are event Kemp s data also suggested a are event, but with the overall data set agreeing with expected uctuations; an indication remained, however, of a non-Gaussian noise which was not typical of his many polarization measurements made of other objects Gehrels (1972) also commented on the erroneous claims of Nikulin, Kuvshinov & Severny (1971) in respect to variable circular polarization from HD 226868, the optical counterpart of Cyg X-1 He also presented measurements of p ( ) for this star, showing that its origin was essentially interstellar Michalsky, Swedlund & Avery (1975) also presented results showing a de nite circular polarization for HD 226868, but noted that a case for an interstellar origin was strong Severny & Kuvshinov (1975) later revised the instrumentation used by Nikulin, Kuvshinov, Severny (1971), and made extensive measurements of Sco X-1, Cyg X-1 and 3C273, suggesting that all three objects exhibited an occasional appearance of appreciable circular polarization In a search for the Zeeman effect in the X-ray star candidates, 2 Orionis and X Persei, and the X-ray source Cygnus X-1, Borra (1975) investigated circular polarization in the wings of the He I line at 6678 , but obtained null results Following the possible identi cation of X Per with the X-ray source 2ASE 0352 +30, Baud & Tinbergen (1972) undertook circular polarimetry, but obtained a null result at a detection level of 002% This was later followed with observations by Stokes, Avery & Michalsky (1973) who made three-colour measurements to uncertainties of 00006% Although the BVR measurements provided the same sense of handedness, no rm detections were realised and, in any case, it was not possible to rule out the origin as being interstellar In a later paper, the same research team (Avery, Michalsky & Stokes, 1973) detected a wavelength dependence of circular.

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Although certain insights have been gained through investigation carried out in steady-state, we feel that it is still necessary to extend the investigation beyond the region of steady-state First, due to the high variability caused by long-range dependence, the convergence of an LRD traf c process toward steady-state can be very slow In contrast, Markov traf c processes converge to steady-state exponentially fast Consequently, for a link carrying LRD traf c, the discrepany between steady-state performance and transient performance can be more signi cant, compared with the situations in which traf c can be modeled by Markov processes Second, to guarantee QoS for traf c with the high variability caused by long-range dependence, dynamic and adaptive resource allocation may be necessary to account for the effect of the current system state.

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Performance analysis based on the steady state may not be appropriate for this purpose, since in steady-state, any initial effect will disappear eventually Because steady-state performance may differ from transient performance signi cantly for LRD traf c, the image regarding loss behavior of LRD traf c in the transient state still largely remains vague In this chapter, an approach different from conventional transient analysis is used, which allows us to investigate the transient performance impact of long-range dependence in traf c without rst seeking a closed-form transient solution That is, we limit our analysis to some short period of time, and even to a single state of a traf c process The reasons for us to adopt this approach are as follows.

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First, it is relatively easy, and may also be suf cient, to consider transient solutions de ned only for a relatively short time period, since a short time period may actually cover the time span in which we are interested for transient performance analysis A large time span may be less interesting from a point of view of transient analysis, since the difference between the steady state and the transient state may diminish signi cantly after a long time has elapsed Second, if the arrival process is renewal type, then the behavior of the system is probabilistically periodic So it may be suf cient to focus only on a ``typical'' probabilistic period to study the transient performance of theRelated: Barcode Generator C# , Barcode Generator SSRS how to, Print Barcode VBNET.

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