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processImage Method - ABBYY Cloud OCR SDK
[POST] http ( s )://<PROCESSING_LOCATION_ID>. ocrsdk.com/processImage . The image file is transmitted in the request body. See the list of supported input ...


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There are many statements that are doing nothing more that writing to the textWriter using xmlWriter. Typing time is saved by the use of With xmlWriter statement, which allows a simple dot to be typed to represent the xmlWriter object. The XmlTextWriter handles the formatting of the document by setting the Formatting and Indentation properties. The WriteStartDocument method writes the XML declaration to the file. The WriteComment writes a comment to the file. When writing elements, either the WriteStartElement method can be used, or the WriteElementString method can be used. The WriteStartElement only writes the starting element, but keeps track of the nesting level, and adds new elements inside this element. The element is completed when a call is made to the WriteEndElement method. The WriteElementString simply writes a closed element to the file. The WriteAttribute method take a name and value pair, and writes the attribute into the current open element. When writing is complete, a call to the Close method must be called to avoid losing data. The file is now saved. The last part of this procedure is used to display the file on the browser, as shown in Figure 9.8. This procedure reads the document back into an XmlDocument, turns on the WhiteSpacePreserve property, and sends the outerXML of the XmlDocument to the browser by encoding it in HTML, between the HTML pre tags.

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because d2 1.128 when two consecutive observations are used to calculate a moving range. It is also possible to establish a control chart on the moving range using D3 and D4 for n 2. The parameters for these charts are de ned as follows.

To wrap column text around a picture or other object, click the picture or object, click the Format tab, click the Wrap Text button and then click the type of wrapping that you want to apply.

The center line and upper and lower control limits for a control chart for individuals are UCL CL LCL x x x mr 3 d2 x mr 3 1.128 3 mr d2 x 3 mr 1.128 (16-19)

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The procedure is illustrated in the following example. EXAMPLE 16-2 Table 16-3 shows 20 observations on concentration for the output of a chemical process. The observations are taken at one-hour intervals. If several observations are taken at the same time, the observed concentration reading will differ only because of measurement error. Since the measurement error is small, only one observation is taken each hour. To set up the control chart for individuals, note that the sample average of the 20 concentration readings is x 99.1 and that the average of the moving ranges of two observations shown in the last column of Table 16-3 is mr 2.59. To set up the moving-range chart, we note that D3 0 and D4 3.267 for n 2. Therefore, the moving-range chart has center line mr 2.59, LCL 0, and UCL D4mr 13.267212.592 8.46. The control chart is shown as the lower control chart in Fig. 16-11 on page 618. This control chart was constructed by Minitab. Because no points exceed the upper control limit, we may now set up the control chart for individual concentration measurements. If a moving range of n 2 observations is used,

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Figure 9.8 The browser output when an XML file is created. The file is then read into an XmlDocument and displayed.

The control chart for individual concentration measurements is shown as the upper control chart in Fig. 16-11. There is no indication of an out-of-control condition. The chart for individuals can be interpreted much like an ordinary X control chart. A shift in the process average will result in either a point (or points) outside the control limits, or a pattern consisting of a run on one side of the center line. Some care should be exercised in interpreting patterns on the moving-range chart. The moving ranges are correlated, and this correlation may often induce a pattern of runs or cycles on the chart. The individual measurements are assumed to be uncorrelated, however, and any apparent pattern on the individuals control chart should be carefully investigated. The control chart for individuals is very insensitive to small shifts in the process mean. For example, if the size of the shift in the mean is one standard deviation, the average number of points to detect this shift is 43.9. This result is shown later in the chapter. While the performance of the control chart for individuals is much better for large shifts, in many situations the shift of interest is not large and more rapid shift detection is desirable. In these cases, we recommend the cumulative sum control chart (discussed in Section 16-10) or an exponentially weighted moving-average chart (Montgomery, 2001).

Table 16-3 Chemical Process Concentration Measurements Observation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 x Concentration x 102.0 94.8 98.3 98.4 102.0 98.5 99.0 97.7 100.0 98.1 101.3 98.7 101.1 98.4 97.0 96.7 100.3 101.4 97.2 101.0 99.1 mr Moving Range mr 7.2 3.5 0.1 3.6 3.5 0.5 1.3 2.3 1.9 3.2 2.6 2.4 2.7 1.4 0.3 3.6 1.1 4.2 3.8 2.59

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A random variable is sometimes de ned as a function of one or more random variables. The CD material presents methods to determine the distributions of general functions of random variables. Furthermore, moment-generating functions are introduced on the CD

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