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The collection attribute tells ColdFusion which structure to loop over, and the item attribute is what ColdFusion names the variable that contains the key name. ColdFusion loops over every element in the structure and puts the key s name in theItem each time that the loop iterates. If you don t need to loop over the structure but you need a list or array containing the structure s keys, use StructKeyList() or StructKeyArray(), as follows:

quality on the left, medium quality in the middle, and poor quality on the right).

StructKeyList() takes an optional second parameter describing the delimiter to use for the list. The following line of code, for example, creates a semicolon-delimited list containing the names of the top-level keys in myStruct: <cfset keyList = StructKeyList(myStruct, ; )>

So far you ve created keys containing simple string values, but the most powerful feature of structures is their capability to nest inside another structure. Nesting enables you to create hierarchical data structures that closely resemble real-world data models. The simple structure that we created earlier looks like what s shown in Figure 15-3. Figure 15-3: A simple structure.

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chart This chart (Figure 2221) shows annual probability of occurrence on the vertical axis with the corresponding consequence(s) of failure either in monetary cost, lives lost, or both on the horizontal axis The envelopes marked, accepted and marginally accepted re ect risks inferred for other civil works Because the monetary cost associated with an off-site spill is of an order greater than US$109 , clearly the risk faced at the tank farm (001 to 0025) is too high One way to reduce the annual probability of an off-site spill is to lower the ground water level beneath the facility This has the effect of reducing the pore water pressure, increasing the effective vertical stress in the soil, and thus decreasing the probability of liquefaction given seismic ground shaking.

A nested structure would look like what s shown in Figure 15-4. Figure 15-4: Structures nested inside one another.

Notice that in Figure 15-4, smaller structures are nested inside the enclosing structure. Creating a nested structure may seem complicated, but it really is quite simple. In the following example, you create a new key named FruitCosts in myStruct that contains a substructure that, in turn, contains the names of fruits and their respective costs:

the standard deviation The quality q(xi ) of xi is then de ned as the prediction of its normalized matching score normscore(xi ) Given a feature vector vi extracted from xi , a mapping between vi and q(xi ) can be found by regression over D by considering the pairs vi , normscore(xi ) , i = 1, , n Tabassi et al [7] preferred to formulate the problem as a classi cation problem (instead of as a regression problem) in order to quantize the quality into just ve values; to this purpose a neural network classi er is trained to classify the feature vector into one among the ve prede ned quality classes (where class 1 means top quality and class 5 means worst quality) The features constituting the 11-dimensional feature vectors vi are reported in Table 142.

myStruct[ FruitCosts ] = StructNew()> myStruct.FruitCosts[ Oranges ] = 1.99> myStruct.FruitCosts[ Apples ] = 1.50> myStruct.FruitCosts[ Peaches ] = 1.75>

To extract these features, the method calculates a quality map of the foreground according to the consistency of local orientation, the local contrast, and the curvature Minutiae detection is then performed and the reliability of each detected minutia point is computed according to simple pixel intensity statistics (mean and standard deviation) within the immediate neighborhood of the minutia point The minutiae reliability is then combined with the local quality at the minutiae location (from the quality map) to produce a quality measure for each minutia Another neural-network-based approach is proposed in reference 8, but differently from reference 7 here the classi er is used to de ne the quality locally (ie, blockwise).

Structures can be nested many levels deep in any configuration. You can also use associative-array notation to create nested structures, as follows:

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