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insensitive to temperature if the screw speed is at the low level but sensitive to temperature if the screw speed is at the high level. With the screw speed at a low level, the process should produce an average shrinkage of around 10% regardless of the temperature level chosen. Based on this initial analysis, the team decides to set both the mold temperature and the screw speed at the low level. This set of conditions should reduce the mean shrinkage of parts to around 10%. However, the variability in shrinkage from part to part is still a potential problem. In effect, the mean shrinkage can be adequately reduced by the above modi cations; however, the part-to-part variability in shrinkage over a production run could still cause problems in assembly. One way to address this issue is to see if any of the process factors affect the variability in parts shrinkage. Figure 14-35 presents the normal probability plot of the residuals. This plot appears satisfactory. The plots of residuals versus each factor were then constructed. One of these plots, that for residuals versus factor C (holding time), is shown in Fig. 14-36. The plot reveals much less scatter in the residuals at the low holding time than at the high holding time. These residuals were obtained in the usual way from a model for predicted shrinkage

EXAMPLE 36-1

y

To allow the application developer to test the application behavior in a simulated sensor network, a single-machine simulation and visualization mechanism was developed for ATaG. The simulation occurs in a decentralized manner with no global synchronization between the simulated nodes. A method of sending messages to the graphical visualization interface is provided to

x 1 1

Capturing a DisplayObject with draw()

x 2 2

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package { import flash.display.*; import flash.events.Event; import flash.geom.*; import flash.net.URLRequest; import flash.system.LoaderContext; [SWF(frameRate="10")] public class ch36ex1 extends Sprite { protected const SIZE:Rectangle = new Rectangle(0, 0, 48, 48); protected var TOTALFRAMES:int; protected var bmp:BitmapData; protected var filmstrip:Loader; protected var frame:int = 0; public function ch36ex1() { filmstrip = new Loader(); //Animation by Derek Yu - www.derekyu.com - used with permission filmstrip.load( new URLRequest("http://actionscriptbible.com/files/monkey.png"), new LoaderContext(true)); filmstrip.contentLoaderInfo.addEventListener(Event.COMPLETE, onLoad); addChild(filmstrip); bmp = new BitmapData(SIZE.width, SIZE.height); var bitmap:Bitmap = new Bitmap(bmp); addChild(bitmap); bitmap.y = SIZE.height + 10; } protected function onLoad(event:Event):void { TOTALFRAMES = filmstrip.width / SIZE.width; addEventListener(Event.ENTER_FRAME, onEnterFrame); } protected function onEnterFrame(event:Event):void { frame = ++frame % TOTALFRAMES; //highlight the area you re drawing graphics.clear(); graphics.lineStyle(0, 0xff0000); graphics.drawRect(frame*SIZE.width, 0, SIZE.width, SIZE.height); //clear the bitmap bmp.fillRect(bmp.rect, 0); //shift the filmstrip to the left to put the right frame in place var shiftTransform:Matrix = new Matrix(); shiftTransform.translate(-frame * SIZE.width, 0); //use SIZE to clip the shifted graphic to the correct position and size bmp.draw(filmstrip, shiftTransform, null, null, SIZE); } } }

6.9375x1

This example delves into transformations just a tiny bit, for a good reason. If you try using no transformation matrix and instead move the sourceRect, you ll see that the correct frame of animation is displayed, but in its original location. That is to say, it looks like you re moving a mask along a long strip. In fact, you ll only notice this if you enlarge the bitmap bmp wide enough to see those frames. So, you use the matrix parameter to move the correct frame into place, and you use the sourceRect parameter to clip it. Because the bitmap itself is already the correct size, using a sourceRect is optional.

17.8125x2

Because these methods exist in two different classes, and I m mixing them up, I sometimes use the scope resolution operator (::) to clarify which class a method is associated with. For example,

where x1, x2, and x1x2 are coded variables that correspond to the factors A and B and the AB interaction. The residuals are then e y

The regression model used to produce the residuals essentially removes the location effects of A, B, and AB from the data; the residuals therefore contain information about unexplained variability. Figure 14-36 indicates that there is a pattern in the variability and

Array::pop()

6 99 95 90 Normal probability 80 70 50 30 20 10 5 1 6 3 0 Residual 3 6 Residuals 4 2 0 2 4 6 Low Holding time (C) High

Array.pop()

Figure 14-35 Normal probability plot of residuals for Example 14-8.

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