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if (e.Result.Semantics.ContainsKey("Quantity")) { SemanticValue quantity = e.Result.Semantics["Quantity"]; QuantityRecognized(this, new SemanticUpdateEventArgs<string> (quantity.Value.ToString(), quantity.Confidence, e.Result.Text)); } } } This grammar class contains event handlers for each of the SemanticItem objects. When a SemanticItem is updated, the GadgetGrammar_Recognized method is called, which sets the value for the SemanticItem objects. In your workflow, you need to reference these events. In the TurnStarting event of your first question, reference all the object events. private void askGeneral_TurnStarting(object sender, TurnStartingEventArgs e) { this.askGeneral.Grammars.Clear(); GadgetGrammar gadgetGrammar = new GadgetGrammar(); gadgetGrammar.SizeRecognized += this._siSize.Update; gadgetGrammar.ColorRecognized += this._siColor.Update; gadgetGrammar.QuantityRecognized += this._siQuantity.Update; this.askGeneral.Grammars.Add(gadgetGrammar); } This allows the user to answer all the questions in one spoken phrase, such as, I would like four large red gadgets. The application will then skip the questions for answers already provided. This is done by associating the SemanticItem with a QuestionAnswer activity. If the user were to say something like, I want two gadgets, the application would ask the color and size questions. private void askColor_TurnStarting(object sender, TurnStartingEventArgs e) { this.askColor.Grammars.Clear(); ColorGrammar colorGrammar = new ColorGrammar(); colorGrammar.ColorRecognized += this._siColor.Update; this.askColor.Grammars.Add(colorGrammar); } private void askSize_TurnStarting(object sender, TurnStartingEventArgs e) { this.askSize.Grammars.Clear(); SizeGrammar sizeGrammar = new SizeGrammar(); sizeGrammar.SizeRecognized += this._siSize.Update; this.askSize.Grammars.Add(sizeGrammar); }

You have not yet configured your kernel! (missing kernel .config file) Please run some configurator (e.g. "make oldconfig" or "make menuconfig" or "make xconfig").

Figure 10-8. With the grain layer in Grain merge mode, the furry texture is much more obvious even through the pattern. What happened Let s review how you can use Grain extract and Grain merge together. When you need to save or emphasize the texture of some part of an image, start by making a copy of your target that has the texture removed (that s the blurred layer). Combine that, in Grain extract mode, with the original to make a grain layer. That grain layer, used in Grain merge mode, will add the original grain wherever you need it.

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After the compilation process finishes, the following appears, to show what was produced (this output will vary slight depending on your kernel): SYMLINK include/asm -> include/asm-powerpc CALL scripts/checksyscalls.sh CHK include/linux/compile.h CALL arch/powerpc/kernel/systbl_chk.sh CC arch/powerpc/kernel/prom_init.o CALL arch/powerpc/kernel/prom_init_check.sh WRAP arch/powerpc/boot/uImage Image Name: Linux-2.6.29.4 Created: Wed Jun 10 23:19:58 2009 Image Type: PowerPC Linux Kernel Image (gzip compressed) Data Size: 1467720 Bytes = 1433.32 kB = 1.40 MB Load Address: 0x00000000 Entry Point: 0x00000000 The output of the kernel build is located under the arch/< ARCH >/boot directory. The actual location varies, so double-check what the output of the build says. In this example, the line WRAP arch/powerpc/boot/uImage

Think way back to 2, where you used tools such as Levels and Curves to improve the brightness of an image. You can make similar changes by using layer modes, sometimes with a much better result. Just make a copy of the image, right on top of the original, and experiment with the layer mode of the top copy. Let s take a look at some of the corrections you can make by compositing an image with itself.

shows that the output of the build is arch/powerpc/boot/uImage. If you re new to the kernel, this process is a bit mysterious, because no message says Your Kernel is Here! The rule of thumb is to look for the line that has a file name the same as the target under the arch/< ARCH >/boot directory. In this case, the uImage file produced by the build is ready for download to a target board.

Sometimes you pick the wrong f-stop. Sometimes the camera guesses the exposure wrong. Especially aggravating, sometimes there just isn t enough light where you want to shoot such as in Figure 10-9.

private void askQuantity_TurnStarting(object sender, TurnStartingEventArgs e) { this.askQuantity.Grammars.Clear(); QuantityGrammar quantityGrammar = new QuantityGrammar(); quantityGrammar.QuantityRecognized += this._siQuantity.Update; this.askQuantity.Grammars.Add(quantityGrammar); } The QuestionAnswer activity s Confirmation prompt makes sure the order is correct. You need to create a grammar class with event handling, so that you can deny or accept the confirmation based on the user s response. For this, you can use the Confirmation_YesNo rule from the built-in grammar file, Library.grxml. internal class ConfirmationGrammar : Grammar { public EventHandler<SemanticUpdateEventArgs<bool>> Yes; public EventHandler<SemanticUpdateEventArgs<bool>> No; public ConfirmationGrammar() : base(CreateSrgsDocument()) { base.Recognized += ConfirmationGrammar_Recognized; } private static SrgsDocument CreateSrgsDocument() { SrgsDocument grammar = new SrgsDocument (@"C:\Projects\GadgetApplication\Grammars\Library.grxml"); grammar.Root = grammar.Rules["Confirmation_YesNo"]; return grammar; } void ConfirmationGrammar_Recognized(object sender, RecognizedEventArgs e) { if (e.Result.Semantics.Value.ToString() == "Yes") { if (Yes != null) { Yes(this, new SemanticUpdateEventArgs<bool>( true, e.Result.Confidence, e.Result.Text)); } } else {

N ote The vmlinux file residing in the root of the kernel tree isn t the file used to boot the board. You need to

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