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protected Color color; protected JPanel p; public drawCommand(JPanel pn) { drawList = new Vector(); p = pn; //save the panel that we draw on } //-------------public void Execute() { drawListadd(new drawData(x, y, dx, dy)); x += dx; //increment to the next position y += dy; prepaint(); } //-------------public void unDo() { int index = drawListsize() -1; //remove last-drawn line from list if(index <= 0) { drawData d = (drawData)drawListelementAt (index); drawListremove (index); x = dgetX(); //reset x and y y = dgetY(); //to the last-used position } prepaint(); //force redrawing } //-------------public void draw(Graphics g) { //draw all remaining lines in the list //called by panel's paint method Dimension sz = pgetSize ; gsetColor (color); for (int i=0; i < drawListsize(); i++) { drawData d = (drawData)drawListelementAt (i); gdrawLine (dgetX(), dgetY(),dgetX() + dx, dgetY() + szheight); } } }. PDF417 In Visual C# Using Barcode generation for VS .NET Control to generate, create PDF417 image .Related: EAN-8 Generation .NET , .NET UPC-E Generation , ISBN Generating .NET

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At the time of this writing, the Apple Safari browser on the iPhone displayed the page in a tiny, unreadable page that had to be expanded, but the Opera Mini browser (as shown in Figures 3-9 and 3-10) on the same iPhone using the same size screen displayed the page immediately in n optimum viewing size, whether viewed horizontally or vertically. QR Code Encoder In VB.NET Using Barcode printer for .Related: EAN-13 Generating .NET , .NET EAN 128 Generating , Generate UPC-A .NET

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Bar Code Encoder In VS .NET Using Barcode maker for . Conversion. UPCA Creator In VS .NET Using Barcode creation for .An abstract graphical element (such as a line, a circle, a character glyph, or a sampled image) is rendered on a raster output device by a process known as scan conversion Given a mathematical description of the graphical element, this process determines which pixels to adjust and what values to assign to those pixels to achieve the most faithful rendition possible at the available device resolution The pixels on a page can be epresented by a two-dimensional array of pixel values in computer memory For an output device whose pixels can only be black or white, a single bit suf ces to represent each pixel For a device that can reproduce gray levels or colors, multiple bits per pixel are required.Related: Create Codabar .NET , Print ITF-14 .NET , .NET Interleaved 2 of 5 Generator

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The smoothness tolerance (PDF 13) controls the quality of smooth shading (type 2 patterns and the sh operator), and thus indirectly controls the rendering performance Smoothness is the allowable color error between a shading approximated by piecewise linear interpolation and the true value of a (possibly nonlinear) shading function The error is measured for each color component, and the maximum error is used The allowable error (or tolerance) is expressed as a fraction of the range of the color component, from 00 to 10 Thus, a smoothness tolerance of 01 represents a tolerance of 10 percent in each color component Smoothness can be speci ed as the value of the SM entry in a graphics state parameter dictionary (see Table 48 on page 157) Each utput device may have internal limits on the maximum and minimum tolerances attainable For example, setting smoothness to 10 may result in an internal smoothness of 05 on a high-quality color device, while setting it to 00 on the same device may result in an internal smoothness of 001 if an error of that magnitude is imperceptible on the device The smoothness tolerance may also interact with the accuracy of color conversion In the case of a color conversion de ned by a sampled function, the conversion function is unknown Thus the error may be sampled at too low a frequency, in which case the accuracy de ned by the smoothness tolerance cannot be guaranteed In most cases, however, where the conversion function is smooth and continuous, the accuracy should be within the speci ed tolerance The effect of the smoothness tolerance is similar to that of the atness tolerance Note, however, that atness is measured in device-dependent units of pixel width, whereas smoothness is measured as a fraction of color component range.

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The first state of the Graphics object involves the quality of shapes and images This state changes when you set the quality of a Graphics object using the SmoothingMode, TextRenderingHint, CompositingMode, CompositingQuality, and InterpolationMode properties of the Graphics class Transformation is another state that a Graphics object maintains Transformation is the process of changing graphics objects from one state to another by rotation, scaling, reflection, translation, and shearing The Graphics object maintains two transformation states: world and page The world transformation defines the conversion of world coordinates to page coordinates World coordinates are coordinates that you define in your program, and page coordinates are coordinates that GDI+ uses to expose the object coordinates The page transformation defines the conversion of page coordinates to evice coordinates Device coordinates determine how a graphics object will be displayed on a particular display device The Graphics class provides the ScaleTransform, RotateTransform, and TranslateTransform methods, as well as theTransform property, to support transformations. C Generator In VB.NET Using Barcode encoder for .NET .NET Control to generate, create barcode image in NET applications.Related: Intelligent Mail Generating .NET

ByMary Campione,Kathy Walrath,Alison Huml them with a canvas, and a third Panel to group he text field, button, check box, and pop-up list of choices All these Panels are grouped by a Frame object, which presents the window they're displayed inAddison Wesley holds a menu and a list Publisher : The Frame also Pub Date ISBN : December 28, 2000 : 0-201-70393-9.

the application Next, the test subjects went through the application again while being videotaped No corrections were made to dictated text during the videotaping This allowed the tracking of voice dictation accuracy for each user with a new speech pro le Test subjects completed the entire process in an average of 2 hours Afterward, each test subject completed a questionnaire to determine user demographics, utility and quality performance, system interface, hardware, information management, and overall system satisfaction and importance This survey instrument also allowed the test subjects to record any problems and suggest improvements to the system Data with built-in intelligence techniques recorded any problems that the test subjects encountered in the survey instrument Autonomics were employed by the VAMTA development team, to document bugs in the tracking system, and targeted by the test architect for the appropriate problem solving action The performance of VAMTA during testing was measured in terms of voice accuracy, voice accuracy total errors, duration with data entry by voice, and duration with data entry by keyboard and mouse Viewed together, these statistics provide a snapshot of the accuracy, speed, and overall effectiveness of the VAMTA system Each test subject s printout was compared with a test script printout for accuracy When discrepancies occurred between the subject s printout and the test cript, the printouts were compared with the automated video recordings to determine whether the test subjects said the words properly, stuttered or mumbled words, and/or followed the test script properly Misrecognitions occurred when the test subject said a word properly and the speech program recorded the wrong word This automated regulatory environment provided a solid baseline for the lab experiments and led to the following results The accuracy of voice recognition, con rmed by videotaped records of test sessions, averaged 976%, with 6 misrecognitions (Table 41) The minimum average voice recognition was 85%, with 37 misrecognitions The maximum average voice recognition was 996% with 1 misrecognition Median voice recognition was 984%, with 4 misrecognitions.

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