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By far the one audio track that you re most likely to use is the one that was recorded by your camcorder as you filmed your video Using this recorded audio track takes no extra effort on your part, because it is automatically imported along with your video You may have noticed in Figure 6-1 that the recorded audio track appears just below the video track in the timeline In addition, this audio track is shown with a dotted line connecting its icon to the video track icon (in the left-most column of the timeline) These are visual clues to something very important about the recorded audio track Unlike any other audio track, this track is automatically synchronized with the video so that the sound will exactly match the video For example, if someone is talking in the video, their lip movements and the sound of their voice will match up perfectly Even though the recorded audio track starts out perfectly synchronized with the video track, you are free to manipulate the two tracks independently of each other For example, shown in Figure 6-2, I ve adjusted the audio tracks that were associated with the first and second video clips so that they no longer are synchronized with the video

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There are two different methods for transforming to a tabular form an E-R diagram that includes generalization Although we refer to the generalization in Figure 217 in this discussion, we simplify it by including only the rst tier of lower-level entity sets that is, savings-account and checking-account 1 Create a table for the higher-level entity set For each lower-level entity set, create a table that includes a column for each of the attributes of that entity set plus a column for each attribute of the primary key of the higher-level entity set Thus, for the E-R diagram of Figure 217, we have three tables: account, with attributes account-number and balance savings-account, with attributes account-number and interest-rate checking-account, with attributes account-number and overdraft-amount 2 An alternative representation is possible, if the generalization is disjoint and complete that is, if no entity is a member of two lower-level entity sets directly below a higher-level entity set, and if every entity in the higher level entity set is also a member of one of the lower-level entity sets Here, do not create a table for the higher-level entity set Instead, for each lower-level entity set, create a table that includes a column for each of the attributes of that entity set plus a column for each attribute of the higher-level entity set Then, for the E-R diagram of Figure 217, we have two tables savings-account, with attributes account-number, balance, and interest-rate checking-account, with attributes account-number, balance, and overdraftamount The savings-account and checking-account relations corresponding to these tables both have account-number as the primary key If the second method were used for an overlapping generalization, some values such as balance would be stored twice unnecessarily Similarly, if the generalization were not complete that is, if some accounts were neither savings nor checking accounts then such accounts could not be represented with the second method.

crystal reports pdf 417

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Transforming an E-R diagram containing aggregation to a tabular form is straightforward Consider the diagram of Figure 219 The table for the relationship set

When analyzing sinusoidal circuits with inductors and capacitors, two quantities that are useful when characterizing the circuit are the capacitive reactance XC = and the inductive reactance X L = L 1 C

The McGraw Hill Companies, 2001

Background music track FIGURE 6-1

manages between the aggregation of works-on and the entity set manager includes a column for each attribute in the primary keys of the entity set manager and the relationship set works-on It would also include a column for any descriptive attributes, if they exist, of the relationship set manages We then transform the relationship sets and entity sets within the aggregated entity

Fig 7-10 This circuit gives the relation used to deduce the Thevenin equivalent impedance and voltage as used in Example 7-5

110 100

FIGURE 6-2

The McGraw Hill Companies, 2001

There are several architectural models for parallel machines Among the most prominent ones are those in Figure 188 (in the gure, M denotes memory, P denotes a processor, and disks are shown as cylinders): Shared memory All the processors share a common memory (Figure 188a) Shared disk All the processors share a common set of disks (Figure 188b) Shared-disk systems are sometimes called clusters Shared nothing The processors share neither a common memory nor common disk (Figure 188c) Hierarchical This model is a hybrid of the preceding three architectures (Figure 188d) In Sections 18331 through 18334, we elaborate on each of these models Techniques used to speed up transaction processing on data-server systems, such as data and lock caching and lock de-escalation, outlined in Section 1822, can also be used in shared-disk parallel databases as well as in shared-nothing parallel databases In fact, they are very important for ef cient transaction processing in such systems

The McGraw Hill Companies, 2001

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