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5. Select the second keyframe. 6. In the left pane of the Actions panel, click Actions Miscellaneous Actions and then double-click evaluate. 7. In the Expression field, type the following code: Jitter._xscale+=Math. random()*75. This line of code adds a random value between 0 and 75 to the _xscale property of the movie clip Jitter. As you may remember, the random method of the Math object generates a random number between 0 and 1. Multiplying the result of the random method by another number generates a random value between 0 and that number. Now that you ve modified the _xscale, you can modify other properties to animate the movie clip. 8. Repeat Step 7 to modify the _yscale, _x, and _y properties of the movie clip, as shown in Listing 10-4.



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It s easy to be overwhelmed with properties and methods; there are literally thousands available. In this section I describe how to access properties and methods of objects.





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Box 52 Preparing a ow duration curve To prepare a ow duration curve you need at least a single full year of ow records (preferable daily mean ows) for a stream ow gaging station It is even better if you have several years worth of records, but only complete years of data should be included in the analysis The rst step is to examine the ow records and determine the maximum and minimum values Between these two extremes, subdivide the entire range of ows into a number (>10) of arbitrary intervals For instance, if the minimum ow was 012 m3/s and the maximum was 214 m3/s, I would probably subdivide the range into intervals of approximately 01 m3/s, as follows: 010 019; 020 029; 030 039; 040 049; and so on up to 211 219.

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Now go through the ow records and make a tick for each record in the interval to which it belongs For instance, a value of 175 m3/s would give a tick in the 170 179 interval, and so on for all other records In the end, we will be able to count the number of records allocated to each of the intervals The percentage of time in which ow fell within each interval can then be simply calculated by dividing the number of ticks in each interval by the total number of records used in the analysis (ie 365 if we used 1 year s worth of records) Then, starting from the highest interval, we calculate the cumulative frequency for each interval until we reach the lowest interval.

. RADIUS and Diameter are message-based This is advantageous for online accounting, which needs to have the lowest possible latency, but does not scale well for of ine accounting, which is more ef ciently served by batch le CDR production Additionally, the mediation needs of RADIUS and Diameter are higher than for instance, for CDR-based charging The basis of RADIUS and Diameter accounting is to report usage to the accounting server after the event, such as after 100 kB of data has already been consumed This does not provide support to true prepaid charging, in which the 100 kB should be authorized by the charging server before it is provided to the user.

For the lowermost value of each interval, we can now specify a percentage of time for which that particular ow is equalled or exceeded By plotting each such value against ow on a graph, we obtain our nal ow duration curve, from which values such as Q95, Q75, and Q25 can be easily read by interpolation (Figure 59)..

erage manager, says the point-of-sale module will pay for itself in six months because guests are walking out of the hotel without having their breakfast charges posted to their folios. Lorraine DeSantes, director of marketing and sales, says the purchase of the guest history module will increase business by 25 percent in the rst year. The budget will allow for only one purchase. What concepts would you recommend to the team to break the stalemate

Signals Convey Intelligence 2.1 Objective 2.2 Signals in Everyday Life 2.3 Basic Concepts of Electricity for Communications 2.3.1 Early Sources of Electrical Current 2.3.2 Electrical Telegraph: An Early Form of Long-

more active links at a slot, resulting in insuf cient MSI values of some links. It is likely that the senders of new calls are not allowed to transmit with Pmax due to the constraints of MSIs of existing active links. Thus, the average power consumption slightly decreases.

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