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Figure 5.23 Hamming, exact Hamming, and Blackman-Harris tapering function with two terms. [Source: Meikle, H.D., Modern Radar Systems, Artech House, Norwood, Massachusetts, 2001.]

As mentioned before, the name of the product category that appears at the top of the details page is tricky. Because you can get to a product from multiple product categories, you can t simply look up the correct product category based on the product ID. Instead, you have to pass the product category ID as a parameter to the product details page. From the product details XSQL, you can access the product category name with the simple SELECT statement:

A package is a way to group your PL/SQL types, items, procedures, and functions together. Type definitions, such as records and cursors, can be defined once for all of your subroutines. You can declare variables at a package level that all of the procedures and functions can share. However, all procedures and functions share the exact same copy of the variables if it is changed by a subroutine, all subroutines will see the same change (i.e., they aren t like the instance variables of object-oriented languages). As you saw in the hello_pkg example earlier, a package definition has two parts: (1) a package specification and (2) a package body. If you want a subroutine, type, or variable to be publicly available beyond your package, you must include it in the package specification. Private items that are only available to the package code should only be defined in the package body. The following specification extends our earlier example to include a public variable, pub_var.

5.2.1 Store Cells in Logical Queues Instead of using P FIFOs to store cells addresses according to their priority levels w27x, the architecture shown in Figure 5.2 uses two small memories having P entries for each. Each entry has both head and tail pointers HP and TP. indicating the starting and ending addresses of a logical queue. The logical queue is stored in the cell pool and is associated with its priority level. Here, instead of storing each cell s address in the FIFOs, two addresses are stored for every logical queue, which results in a big memory saving. Every cell in the pool is attached with a pointer to point to the next cell that is linked in the same queue, as shown in Figure 5.3. A similar approach for implementing a priority queue that can handle only a small number of priority levels is presented in w21x. When a cell arrives, it is added to a logical queue based on its priority level. As shown in Figure 5.3 b., the cell s priority field is extracted first and used as an address to read out the TP from the TP memory e.g., A l .. The TP is then used as a writing address for the cell to be written into the pool. In the meantime, an idle address e.g., A m . attached to the cell is written

Values taken from operational data can be summarized. Units of operational data can be tallied, where the total number of units is captured. Units of data can be processed to find the highest, lowest, average, and so forth. First and last occurrences of data can be trapped. Data of certain types, falling within the boundaries of several parameters, can be measured. Data that is effective as of some moment in time can be trapped. The oldest and the youngest data can be trapped.

Development of multilevel MPM is an active area of research that is still in the early stages Ma et al [29] reported the rst implementation, in which they used the structured adaptive mesh application interface (SAMRAI) [16] as a vehicle to handle the multilevel grid information While the Ma et al approach makes a huge step toward realizing general-purpose, multilevel MPM, it does so in a manner that is quite different from standard SAMR algorithms The brief description of their work, given below, will highlight some of these differences and illustrate some of the remaining challenges ahead A region of a simple two-level grid, populated with one particle in each cell, is shown in Figure 1015 Two of the nodes at the coarse- ne interface, denoted by lled diamonds, are highlighted for discussion First, consider the node at (4, 5) The work of Ma et al.

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