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Representativeness is more often illustrated than precisely de ned (Kahneman et al. 1982). In general, it re ects subjective probability judgments based on the resemblance of particular conditions in one circumstance to those in another. In a classic experiment, subjects are provided with a detailed pro le of the behavior and personality characteristics of a hypothetical person, then asked to estimate the probability that the person is a lawyer vs. an engineer. Subjects told that the individual was drawn from a group of 70 lawyers and 30 engineers produced the same estimates as those told that the group contained 30 lawyers and 70 engineers. The subjects judgments are based on matching the description

Listing 22-7 is just Listing 22-5 modified to create the instance of the Company component in the Session scope rather than in the Variables (local) scope. Now this instance persists as long as the user s session does, which means that its properties do, too. This means that you can execute one ColdFusion template that creates an instance of the

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In this section, the robustness of INTRAS in the presence of key variations is investigated. Using the MSE as a performance metric, Figure 16.23 shows the results for INTRAS that combines three consecutive symbols (M = 2) and a key sequence d[n] constructed from a 128-bit key. In this case, the input symbols are simulated as an i.i.d. sequence of integers, ranging from 10 to 10. The distortions are modeled using a simple additive white Gaussian noise (AWGN) channel. Recall that, without any channel distortion, the INTRAS scheme can be summarized as follows. The scrambling step is xd [n] = INTRAS(x[n], d[n]) (16.26)

invokes a function of that component, go place a bid on eBay, execute a third ColdFusion template that invokes another function of that component, and so on, until you pause longer than your session timeout permits and the instance is destroyed. This is why we refer to Company as a long-lived persistent component. Components can also be persisted in the Application scope as well. Just remember that all users of your application use the same instance of your component, so locking becomes even more critical and performance bottlenecks potentially become more of a concern if your component manipulates properties in its This scope. We bet that, right now, you re thinking, I m clustering my application, which means that I don t use Session variables anywhere, so I m going to persist my component instance by serializing it with WDDX (see 30 for details) and storing it in the Client scope. That s a clever idea, but unfortunately, it doesn t work. If you serialize a component instance, the properties in the This scope serialize just fine, but you lose all your functions, so on deserialization, all you get back are the properties.

with input x[n] and key sequence d[n]. The corresponding descrambling step for ideal recovery of the original signal is x[n] = INTRAS 1 (xd [n], d[n]). (16.27)

Why use a persistent component Good question! Why create an object-wannabe that carries its own data (properties) around with it A few practical applications of persistent components do exist, but one in particular clearly stands out. As you may remember from 8, if an attribute must be present to effectively describe an entity, that attribute cannot contain a NULL value. You can never, therefore, insert a partial record into a database table. If one or more of these non-NULL values must be calculated from

currently unavailable values, or if the value is discovered or created late in some user task, you need a temporary staging area to store your partial data, and a persistent component s properties fit the bill nicely for this purpose. So one good application for a long-lived persistent component is a wizard that collects data throughout a complicated process and then calls component functions that insert or update the component s properties into the database after you collect sufficient data to form each entity completely. You begin to build a partial Company wizard in the next section, to see the basics of how a persistent component can be useful; then you complete the wizard in 23 to see how you d deploy it as a complete solution.

Ideal key (from same sensor) Correct key (from same BSN) Incorrect key (from different BSN) 5 10 SNR (dB) 15 20 25

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