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package { import flash.display.LineScaleMode; import flash.display.Shape; import flash.display.Sprite; public class ch35ex9 extends Sprite { public function ch35ex9() { //normal scale mode (by default), strokes scale var normalscale:Shape = new Shape(); addChild(normalscale); normalscale.graphics.lineStyle(1); normalscale.graphics.drawRect(10, 10, 50, 50); normalscale.scaleY = 4; //no-scale mode, strokes don t scale var noscale:Shape = new Shape(); addChild(noscale); noscale.x = 100; noscale.graphics.lineStyle(1, 0, 1, false, LineScaleMode.NONE); noscale.graphics.drawRect(10, 10, 50, 50); noscale.scaleY = 4; //normal scale mode, hairline stroke, strokes stay at 1 px wide var hairline:Shape = new Shape(); addChild(hairline); hairline.x = 200; hairline.graphics.lineStyle(0); hairline.graphics.drawRect(10, 10, 50, 50); hairline.scaleY = 4; } } }

12 1

121c 12 1

FIGURE 35-6

121c

Example 35-10 shows the available types of stroke end caps. The effect is shown in Figure 35-7.

2 jk (14-10)

EXAMPLE 35-10

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Notice that the model contains three main effects, three two-factor interactions, a three-factor interaction, and an error term. Assuming that A, B, and C are xed factors, the analysis of variance is shown in Table 14-9. Note that there must be at least two replicates (n 2) to compute an error sum of squares. The F-test on main effects and interactions follows directly from the expected mean squares. These ratios follow F distributions under the respective null hypotheses. EXAMPLE 14-2 A mechanical engineer is studying the surface roughness of a part produced in a metal-cutting operation. Three factors, feed rate (A), depth of cut (B), and tool angle (C ), are of interest. All three factors have been assigned two levels, and two replicates of a factorial design are run. The coded data are shown in Table 14-10. The ANOVA is summarized in Table 14-11. Since manual ANOVA computions are tedious for three-factor experiments, we have used Minitab for the solution of this problem.

package { import flash.display.*; public class ch35ex10 extends Sprite { public function ch35ex10() { var g:Graphics = graphics; g.lineStyle(40, 0, 0.5, false, LineScaleMode.NONE, CapsStyle.ROUND); drawStroke(40); g.lineStyle(40, 0, 0.5, false, LineScaleMode.NONE, CapsStyle.SQUARE); drawStroke(100); g.lineStyle(40, 0, 0.5, false, LineScaleMode.NONE, CapsStyle.NONE); drawStroke(160); } protected function drawStroke(y:Number):void { graphics.moveTo(0, y); graphics.lineTo(150, y); graphics.lineStyle(0); graphics.moveTo(0, y); graphics.lineTo(150, y); } } }

Table 14-10 Coded Surface Roughness Data for Example 14-2 Depth of Cut (B) 0.025 inch 0.040 inch Feed Rate (A) 20 inches per minute 30 inches per minute Tool Angle (C ) 15 9 7 10 12 25 11 10 10 13 Tool Angle (C ) 15 9 11 12 15 25 10 8 16 14

execution. For transformational applications, the task graph exposes the potential for concurrent execution of tasks and is widely used in task scheduling and allocation [2, 451. The task graph is also commonly annotatedextended with other information relevant to the problem domain-for example, the conditional task graph for low-power embedded system synthesis [%], the augmented task dependency graph [46] for automated software partitioning and mapping for distributed multiprocessors, the iterative task graph for representing loops [59],etc. Annotation of paths in the task graph with throughput and latency constraints has been employed for resource allocation in distributed sensor-actuator systems [4]. The ATaG model of a program is similar to the task graph model in that the application is represented as a set of tasks and a set of data items connected via directed arrows denoting the input or output relationship between a task and a data item. Tasks and arrows (called channels in ATaG) also have associated annotations that determine the translation of the architecture-independent ATaG program in the context of a particular network deployment. An ATaG program is a set of abstract declarations. An abstract declaration can be one of three types: abstract task, abstract data, or abstract channel. Each abstract declaration consists of a set of annotations. Each annotation is a 2-tuple where the first element is the type of annotation, and the second element is the value. Hereafter, we occasionally omit the word abstract for sake of brevity. Figure 2.2 provides a general overview of the

75 102

FIGURE 35-7

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