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) If you d like to listen to the sound before importing it, click once to select the desired file, and then click the Play Sound button or icon that appears in the Preview area within the Open dialog box To import the audio file, double-click the file or select it, as shown in Figure 21-16, and click Open The new track appears in the Tracks list and the TimeLine bar is inserted at the starting frame of your movie 3 Click the drag handle at the left of the sound s bar and drag it to the point in the timeline where you want it to play The action in the movie can be an excellent guideline Alternately, you can set the start time of the sound in the Inspector.

level into stages, which we will call planning periods A planning period is a period of time such that after the rst departure no new arrivals occur (see Figure 163) For such a period a planner can simply solve the shunting problem by means of a planning board that horizontally shows the length of a track, whereas vertically all tracks are enumerated By placing trains or the train units onto the planning board, one visualizes the situation at the marshaling yard At the end of each planning period, all departed train units are removed from the board before the arrivals and departures of the next planning period are added The time interval of interest, called the planning horizon, consists of several planning periods, which can be solved successively as sketched above The associated subproblems are shunting problems related to the planning periods.

If the sound s duration is too short to see it in the timeline, use the Inspector to set it up, as shown in Figure 21-17 Locate your desired start time by moving the Time cursor, and then note the time in the clock timer at the bottom of the TimeLine window Then enter that time into the Start Time field of the Inspector..

. . .

9. Double-click the larger button. In the text editor, type the following code at the cursor s current location between the Private Sub and End Sub statements:

They should be solved in relation to each other, since the decision taken in one planning period affects the solution space of the next planning period The decomposition and the backward solution process that we will propose is similar to Dynamic Programming, a powerful technique that we will discuss in Section 163 Figure 163 visualizes the decomposition of the shunting problem at two levels At a second level we decompose the subproblems by distinguishing a set of arrivals and a set of departures for each planning period Planners prefer to schedule rst the positioning of departures, since this is more relevant in order to achieve a smooth departure process Furthermore, the uncertainty in arrival times does not allow taking the arrivals as base of planning Planning the departures rst, apart from the arrival, makes the algorithm and the solution more robust compared to an integral approach.

Figure 22.3 Typical clinical workstation and its connectivity in the VistA HIS and Vista Imaging. (Courtesy of Drs. H. Rutherford and R. Dayhoff).

28.2 28.2.1

where MonthlyUserData is the kB or number of events, if the average size of each event is provided, see (7.50) that a user generates during a month on average, BHusage is the percentage of total daily tra c that is generated during the BH (in %) and 30 the average number of days in a month. As an example, if we consider that 80% of daily tra c occurs 20% of the time, as a BH de nition (each operator can make its own assumptions), then BHusage is approximately 17%. Bit rate requirements during the BH can be calculated based on the average size of the WAP page, webpage download, MMS size, etc. An example of total PS load during the BH, as well as the minimum throughput to support such a load, due to the assumed tra c mix is reported in Table 7.12. Required total throughput per user during the BH is 0.78 kb/s. Assuming that subscribers are evenly distributed in the cluster it is possible to estimate the needed capacity to support the generated load for all users in the cell at a total rate of 349 kB during the BH. For all users in the cluster, the TotalDataVolume of tra c generated during the BH is: X TotalDataVolume UTotal ServicePenetrations UserBHdatas Sizes 7:50