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Plotted points on a control chart are usually based on data collected from samples in a process. After a suf cient number of samples are collected and the data are plotted on a control chart, the stability of the process can be evaluated. A stable process is in control while an out-of-control process is unstable. Depending on the type of quality characteristic, control charts can be divided into two groups: variable control charts and attribute control charts. Variable control charts are used to monitor quality characteristic that are continuously varying in nature; attribute control charts are used to monitor those quality characteristics that are not numerically measurable. The determination of the centerline and control limits are described in Sections 3.4.2.2 and 3.4.2.3 with respect to different types of control charts. Applications of Control Charts Control charts serve to direct management attention toward special causes of variation in a process when they appear. In evaluating control charts, the following symptoms could indicate a process that is outof-control:

60 50 Number of days 40 30 20 10 0 Q1/05 Q2/05 Q3/05 Q4/05 Q1/06 Q2/06 Q3/06 Q4/06 Month Actual Target

~= 1

Turn Off Pop-up Blocker This turns off the pop-up blocker completely. Show Information Bar for Pop-ups When checked, this turns on the information bar whenever pop-ups are blocked; when unchecked, no information bar will appear. More Settings Opens the Pop-up Blocker Settings window (discussed in the following paragraph).

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With around advice, the first parameter of the advice method must be of type ProceedingJoinPoint this is a requirement. The reason for this is to provide access to the proceed() method of the ProceedingJoinPoint because it provides access to the context of the target method. That method is invoked via a call to ProceedingJoinPoint.proceed() method. This method can be used like any other Java method such as wrapping it in conditions to determine its invocation. An example of a method utilizing the proceed() method was provided at the beginning of the chapter and is also shown here:

This should be enough to remind the programmer to add the required getArea() method to the class:

4.5 DUAL-BAND OR TRIPLE-BAND PIFA Owing to their compactness and possible wide bandwidth, planar inverted-F antennas (PIFAs) have been employed as internal dual-band antennas for cellular telephone handsets for GSM900/1800 systems. The basic design concept and an example for achieving dual-band operation are described in Section 3.2.1. Other interesting PIFA designs for dual-band operation have been discussed [37, 38]. Recently, a meandered planar inverted-F antenna with a single probe feed for achieving triple-frequency operation has been reported [39]. This triple-band planar inverted-F antenna is achieved by inserting two linear slits of different dimensions at opposite edges of the radiating patch and using two shorting strips for short-circuiting the radiating patch. By controlling the dimensions of the two inserted slits and using an antenna volume of 40 38 9 mm3 (air- lled substrate), it is reported that three operating frequencies at 900, 1900, and 2450 MHz can be obtained, although the obtained impedance bandwidth (10-dB return loss) is only about 4% for the three frequencies [39].

Photoshop 6 enables you to expand and contract selections by as many as 100 pixels, up from the previous limit of 16. The upper limits of the Border and Smooth commands were raised also (to 200 and 100 pixels, respectively), but my guess is that you ll have less reason to take advantage of those changes than you will the new ranges for Expand and Contract.

Table 20.5 Summary of the cost estimate structure Category Stage 1 Stage 2 Other costs Contingencies Number of elements 14 10 7 2

552 553 554

. . . . . . .

11. Choose Extend from the Modify toolbar. Follow the prompts:

18

Figure 26.20 Top: Features extracted from a phalangeal sub-ROI segmentation from which features are extracted. Bottom: Phalangeal fuzzy subsystems, consisting of six components, each with a module for shape and size features (solid lines), and wavelet features (dash lines). The aggregation of all features from six sub-regions yields the bone age, BA1, of the phalangeal.

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