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OCR - Optical Character Recognition Explained | Learning Center
Optical Character Recognition , or OCR , is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data.

In Proc IEEE INFOCOM'99, pp 625 640, New York, NY, March 1999 35 P R Jelenkovic and A A Lazar Asymptotic results for multiplexing subexponential on off processes Adv Appl Probab, 31(2), 1999 36 P R Jelenkovic and A A Lazar Subexponential asymptotics of a Markov-modulated random walk with queueing applications J Appl Probab, 35(2):325 347, June 1998 37 P R Jelenkovic, A A Lazar, and N Semret The effect of multiple time scales and subexponentially of MPEG video streams on queueing behavior IEEE J Select Areas Commun, 15(6):1052 1071, August 1997 38 J Karamata Sur un mode de croissance reguiliere des fonctions Mathematica (Cluj), 4:38 53, 1930 39 O Kella and W Whitt A storage model with a two-state random environment Oper Res, 40:257 262, 1992 40 C Kluppelberg Subexponential distributions and integrated tails J Appl Probab, 25:132 141, 1988 41 C Kluppelberg.



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CVISION offers a free trial version of PdfCompressor with OCR Download as well as Maestro Recognition Server Download. Evaluate OCR software today!

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Subexponential distributions and characterizations of related classes Probab Theory Relat Fields, 82:259, 1989 42 W E Leland, M S Taqqu, W Willinger, and D V Wilson On the self-similar nature of Ethernet traf c In Proc ACM SIGCOMM'93, pp 183 193, 1993..





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May 13, 2015 · Extracting Text from Scanned Images (OCR) - MX452 / MX459 ... Select Start OCR for Application Settings, then select the application in which ...

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43 W E Leland, M S Taqqu, W Willinger, and D V Wilson On the self-similar nature of Ethernet traf c (extended version) IEEE=ACM Trans Networking, 2:1 15, 1994 44 N Likhanov, B Tsybakov, and N D Georganas Analysis of an ATM buffer with selfsimilar (``fractal'') input traf c In Proc IEEE INFOCOM'95, pp 985 991, Boston, April 1995 45 R M Loynes The stability of a queue with non-independent inter-arrival and service times Proc Cambridge Philos Soc, 58:497 520, 1962 46 P Nain, Z Liu, D Towsley, and Z-L Zhang Asymptotic behavior of a multiplexer fed by a long-range dependent process J Appl Probab, 36(1) 47 I Norros A storage model with self-similar input Queueing Syst, 16:387 396, 1994 48 A G Pakes On the tails of waiting-time distribution J Appl Probab, 12:555 564, 1975 49 M Parulekar and A M Makowski.

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one that is receiving the replicated data, you can create a copy of the filesystem. Changes that are made to this snapshot are not permanent (they will be lost when the snapshot copy is destroyed, or updated with new changes from the primary), so even though the read-only nature of this copy may not be continuously enforced, it is certainly true.

Tail probabilities for a multiplexer with self-similar traf c In INFOCOM'96, pp 1452 1459, San Francisco, March 1996 50 S Resnick and G Samorodnitsky Activity periods of an in nite server queue and performance of certain heavy tailed uid queues Preprint, 1997 51 S Resnick and G Samorodnitsky Performance decay in a single server queueing model with long range dependence Preprint, 1996 52 T Rolski, S Schlegel, and V Schmidt Asymptotics of Palm-stationary buffer content distribution in uid ow queues Adv Appl Probab, 31(1):235, 1999 53 M Rubinovitch The output of a buffered data communication system Stoch Processes Applic, 1:375 380, 1973 54 B K Ryu and S B Lowen Point process approaches to the modeling and analysis of selfsimilar traf c part I: model construction In INFOCOM'96, pp 1468 1475, San Francisco, March 1996 55 K P Tsoukatos and A M Makowski.

Wide area replication between two remote sites requires additional networking hardware from companies like CNT, Inrange, or Nishan Systems. These companies make the hardware that converts the replicated data into the appropriate format for replication across wide area networks. The disk array vendors rely on these companies to provide the wide area links between their arrays, as they do not provide this functionality themselves. One of the methods that these companies use is called dense wavelength division multiplexing (DWDM). We mention it mostly because it s very cool. DWDM takes data from multiple protocols, including Fibre Channel, FICON, ESCON, and Ethernet, and converts them into optical signals, which are sent across a fiber optic network as light. As shown in Figure 18.2 (that we wish could be in color), a DWDM converter takes each incoming channel, converts it into a different frequency of visible light (i.e. color), called a lambda, and merges the colors together into a single stream with a prism. The stream is then sent across the network at very nearly the speed of light (bends in the cable can cause reflections, which can slow the signal down slightly). The colors are then separated on the remote side by another prism and converted back into data, and the data is sent to the appropriate destination. The result is that a single strand of fiber optic cable can run many parallel data streams at very high throughput rates, each with its own color.

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