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Sakhr Software. ... Sakhr is the global leader in Arabic language technology. ... Sakhr Optical Character Recognition (OCR) converts scans of Arabic printed ...

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Applications that can easily detect missing transactions when connecting to a database for the first time and that know how to find the right starting point. This is a critical consideration for stating that no changes are necessary to the application. If the application can look for transactions that fell into the gutter, then it will tolerate log replication well. Low volumes of inserts and updates so that the log files do not grow rapidly. Applications with high rates of change generate large log files and can induce a backlog on the replica database servers as they struggle to keep up. Applications that can tolerate a small time skew between the live and redundant sites. If the primary site goes down and the application has to reconnect to the redundant site, it may have to wait for several transactions to be played through the recovery manager before it can reconnect to the database. This delay is likely to be similar to the delay imposed by a failover.



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NeOCR is a free software based on Tesseract ( Open Source OCR Engine) for the Windows operating system. It provides an easy and user-friendly user interface to recognize texts contained in images as well as PDF documents and convert to editable text formats (.txt, .doc, .docx).

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Most would assume that the term velocity applies better to a metric for an individual tweet or even a meme as it rockets around the interconnected online world. To Twitalyzer, velocity is a measure of how much you tweet. Think of this as output. You tweet a lot You score higher. While this metric is easy to hit, it is limited by the harm done to





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After having allocated the greater part of this chapter to the wavelet analysis of scaling processes, we now turn to the question of their synthesis To do so, we focus here on a wavelet-based synthesis of the FBM This may seem restrictive; however, unfortunately generation is more dif cult than analysis and the area is less well developed Although it is not dif cult to generate time series with approximate scaling properties using wavelets, there are very few examples where a speci c process can be reproduced accurately We discuss this further at the end of this section There exist a number of methods dedicated to the synthesis of the FBM that are not based on wavelets Among these, the so-called Choleski or Durbin Levinson methods [19, 39, 68] are notable as they are exact.

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They have severe computational drawbacks, however, which make them unsuitable to the generation of long traces, particularly the enormous series required in teletraf c simulations Various approximate synthesis methods with reasonable computational loads are known, for example, the so-called spectral synthesis method (for a recent variant, see Paxson [55]), the on=off superposition method [78], a method based on the discretization of the integral representation, and recently a re ned random midpoint displacement method [53], which has a number of advantages These methods yield tractable practical implementations (sometimes on-the- y implementations) but often suffer from the drawback that the errors (due to approximations made) cannot be controlled and that it is not clear which property of the FBM has been lost Wavelet-based methods have also already been proposed [79, 80] to produce stationary 1=f -type processes.

In some cases, asking the user for verification of a missing transaction (resulting in a user query of the secondary database) is warranted or desired; this puts recovery with precision back into the hands of the end user and helps ensure the integrity of the data. In some cases, if a few minutes have gone by between the time of the original transaction and the time the redundant database is available, the user may no longer wish to resume the old transaction. One example is that of a trading floor, in which a user may choose to hold a trade that was not accepted by the primary database if the market has moved adversely during the recovery window. It s better to let the user make this call than to blindly apply the transaction under a different set of environmental conditions.

We present here a wavelet-based synthesis of the FBM, introduced by Sellan [64], which is developed and implemented in Abry and Sellan [7] and Meyer et al [47] The method relies on an exact wavelet expansion of the FBM This allows the generation of approximate sample paths, but with controlled errors, in a practical implementation framework using a fast pyramidal algorithm similar to that underlying the inversion of DWT [24, 46] This method reproduces accurately the key features that characterize the FBM stationarity of the increments, self-similarity, and long-range dependence and allows new and clearer insights into them, as described by Abry and Sellan [7] and Meyer et al [47] We detail below the key steps of this synthesis..

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