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design (with a single replicate of each factorial run) augmented with ve center points. The design and the yield data are shown in Fig. S14-4. Table S14-6 summarizes the analysis of variance for this experiment. The mean square error is calculated from the center points as follows: SSE nC

Once the line s overlap with the image is detected, you create a small bitmap slice (bmpSlice) that represents that overlap. Then you use getColorBoundsRect() to see which part of it can have text drawn on top (if it s transparent or white). Then you manually wrap the text to the right edge of that rectangle.

0.1720 4

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a message to the suitable port number. The reason for choosing the file-based communication mechanism over the socket-based one is that the former proved to be more robust in our testing than the latter, which was prone to delays and timeouts depending on the frequency of manipulation of the sensor readings through the GUI, the processing speed and memory available in the machine hosting the simulations, etc. Note that the file-based exchange means that changes made through the GUI are not reflected immediately in the simulated sensor node. If the sensor network application calls the readingo method of its sensor class before the file poller has read the latest value from file, it could read a stale reading. This delay can be minimized by increasing the frequency of polling, but the functionality of the sensor network application typically does not (and should not) change if the reading is reflected in the simulated node with a slight delay from the time it is changed by the GUI user. An object tracking mode is also supported for the acoustic sensor. When the object tracking mode is activated, the movement of the cursor simulates the

With the use of some nal methods by the BitmapData class, you can generate interesting effects. Some of these, such as Perlin noise, can be generated in a bitmap and then used in a wide variety of other contexts.

The average of the points in the factorial portion of the design is yF 40.425, and the average of the points at the center is yC 40.46. The difference yF yC 40.425 40.46 0.035 appears to be small. The curvature sum of squares in the analysis of variance table is computed from Equation S14-12 as follows: SSCurvature nF n C 1 yF yC 2 2 nF nC 142 1521 0.0352 2 4 5 0.0027

The analysis of variance indicates that both factors exhibit signi cant main effects, that there is no interaction, and that there is no evidence of curvature in the response over the region of k exploration. That is, the null hypothesis H0: g j 1 jj 0 cannot be rejected.

Filters, covered in 37, can be applied to any display object. The BitmapData class isn t a DisplayObject, but you can apply a lter to it. Much like colorTransform(), the lter will have a one-time effect. However, you can certainly apply the lter repeatedly, especially when maintaining the prior contents of the frame buffer as in Example 36-9. To apply a lter to a BitmapData object, use the applyFilter() method, which accepts the following parameters:

14-10

sourceBitmapData The bitmap to apply the lter to. sourceRect The region of the source bitmap to copy, as a Rectangle. destPoint Where the copied pixels should appear in the destination bitmap, as a Point de ning the top-left corner. filter A BitmapFilter to apply.

RESPONSE SURFACE METHODS AND DESIGNS (CD ONLY)

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