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s 11 through 13 walked through the steps of designing a preliminary database for The Pampered Pet. They showed how to gather requirements, build semantic object and entity-relationship models, and convert those into a relational model. 13 showed how to identify rules that should be built into the database and more complex or changeable rules that should be isolated as business rules. Even after all of this work, the database isn t perfect. This chapter puts the nishing touches on the database by normalizing it appropriately. In this chapter you see examples of: Improving the design to make the database more exible. Identifying tables that are insuf ciently normalized. Normalizing tables to prevent data anomalies. Not normalizing where normalization would be more trouble than it s worth.

Figure 6.41. Lattice planes. (a) Three lattice planes (dashed lines, 1 3) are shown for a two-dimensional array. These planes link corresponding atoms through the crystal lattice. (b) Miller indices allow identi cation of individual planes. They are designated in terms of (hkl, where h = a/a , k = b/b , l = c/c representing points where the plane transects the unit cell (dashed lines). The plane shown is designated 122 since the axes are cut at a/1, b/2 and c/2. The faces of the unit cell may similarly be designated as 100 (a), 010 (b) and 001 (c).

The drawing used in the following exercise on mirroring objects, ab07-02.dwg, is in the Results folder on the DVD.

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An AIFF file can have one or more markers. A marker has an id number, a position (frame number), and a name. To create a marker when writing a file, call setmark(id,position,name). When reading a file, you can access a list of markers by calling getmarkers. Each list element is a tuple of the form (id,position,name). You can also access a particular marker with getmark(id).

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SONET is an ANSI standard specifying the physical interfaces for data transmission over fiber-optic cables. It was proposed by Bellcore in the mid-1980s and is now part of ANSI standards for connecting fiber-optic transmission

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Decide whether it seems likely that the database can build these reports quickly enough to satisfy the users. If a user wants to look at Sales Stats or Item Sales gures for the past month, these queries shouldn t be a problem. They will probably involve a reasonable number of records so the report will run quickly. If the user wants to look at data for the last year, this might take slightly longer but should still be reasonable for The Pampered Pet. If the store were a large chain, these reports could take much longer. (Wal-Mart has almost 2 million employees worldwide, but they probably keep their data spread out on a bunch of different databases and only look at summaries on a global scale.) In each of these cases, the report will probably run reasonably quickly if it doesn t cover too big a time span. Once you realize this, you might want to inform the customers so they can decide how important these reports are. You may also want to tell them that reports covering longer time periods (for example, the previous year or year-to-date) will take longer than reports covering the previous month.

FIGURE 7-14

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De nition 10.8 (Multi-agent Planning Problem). Let D kS, n, Ai 1...n , Rl be a multiagent planning domain. A multi-agent planning problem P for D is a tuple kD, I , Gi 1...n l, where I # S is the set of possible initial states and Gi # S is the set of goal states for agent i. Recall the doorway example shown in Figure 10.3. The goal states for agent A are GA {1, 3} and for agent B are GB {2, 3}. The initial state set is the singular set f0g. We can now formalize our notion of a plan as a state-action table. We actually de ne multiple concepts increasing in strength. These concepts formalize some of the intuitive discussion from the previous section about whether a plan has one or more of the following properties:

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