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However, since these data signals were recorded using speci c parameters and processing steps (which were tailored to the applications described in reference 30), the disadvantage is these signals may not be optimal for the presented methods Therefore, while the results presented in this section have demonstrated the feasibility of the proposed methods, for actual applications of these methods, further investigations need to be made Several considerations should be taken into account First, the signals used for testing the system should be recorded under conditions similar to those in the actual operating environments for example, with the same bit resolution, dynamic range, signal-to-noise ratio and interference sources Moreover, the number of test subjects should correspond to the typical number of users in the actual system; that is, the expected system capacity should be re ected in the simulation tests A practical biometric application may require several hundred users.

<cffunction name= GetCompany returntype= query > <cfargument name= CompanyID type= numeric required= yes > <cfquery name= companyRec datasource= #Request.MainDSN# > SELECT CompanyID, CompanyName, Address, City, State, ZipCode, Comments FROM Company WHERE CompanyID = #Arguments.CompanyID# </cfquery> <cfreturn companyRec> </cffunction>

Overcon dence is the most pervasive bias in assessing subjective probability (Lichtenstein et al. 1982). It manifests in probability estimates that are too extreme at both ends of the probability scale and estimated distributions having insuf cient dispersion about the mean. People even experts rarely assess their uncertainty to be as large as it usually turns

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The preceding code is the same GetCompany() function from Listing 22-2. You can call this function from outside the component, but you can also call it from within the component as a simple function call. Technically, if you want to initialize your component properties with data from a specific Company record, you can do so as follows:

With respect to the simulation scenarios presented in the above, this more demanding speci cation not only requires modifying the system setup, but also implies a loss of performance In general, from an information-theoretic perspective, there is a limit on the supportable capacity of the system, determined by the information entropy of the biometric features While an analysis of these issues is beyond the scope of this chapter, it can be noted that, practically, there is a trade-off between the achievable FAR and FRR, with an increased number of users For instance, the recognition rates of the ECG identi cation will be decreased with more subjects And in the BSN application, as shown in Table 162, the error rates are increased with more subjects In order to accommodate more users, the underlying processing system can be augmented that is, trading off computational complexity for performance.

<cfscript> This.lockName = CreateUUID(); InitCompany(10); </cfscript> <cffunction name= InitCompany returntype= void > <cfargument name= companyID type= numeric required= Yes > <cfscript> CompanyInitRec = GetCompany(Arguments.companyID); This.companyID = CompanyInitRec.companyID; This.companyName = CompanyInitRec.companyName; This.address = CompanyInitRec.address; This.city = CompanyInitRec.city; This.state = CompanyInitRec.state; This.zipCode = CompanyInitRec.zipCode; This.comments = CompanyInitRec.comments; </cfscript> <cfreturn> </cffunction>

For instance, the coding scheme and the number of bits transmitted in a BSN can be increased, which implies a loss in transmission ef ciency However, as noted above, this performance trade-off is only feasible when the number of users is less than the system capacity, determined by the inherent information content that can be reliably extracted from the ECG signal features Therefore, in practical applications of the presented methods, it is important to utilize data sets that faithfully simulate those in the actual operating environment Then, with the corresponding simulation results, a system designer can appropriately.

But this method doesn t serve you well at all, because it hard-codes CompanyID 10 into the initialization function. Passing an argument to the initialization area of a component is impossible, so you can call InitCompany() only from within the component initialization area. The trick is to create an initialization function that takes an optional argument containing a

CompanyID and then set an additional property that describes whether the component is ini-

out to be, sometimes to a shocking extent, as reported in a well-known study by Alpert and Raiffa (1982) Figure 211 plots the results of experiments reported by Fischhoff et al (1997) in which three groups of subjects provided answers to general-knowledge questions as well as estimated probabilities that their answers were correct The estimated error probabilities were found to be reasonably well calibrated relative to the actual error frequencies only when the actual probabilities were no less than about 01 Their overcon dence, expressed as the difference between actual and judged error probabilities, increased dramatically at smaller values of actual error frequency The subjects estimated a subjective probability of error as small as 10 6 when the actual error frequency was slightly less than 10 1 , a ratio of ve orders of magnitude.

select the various system parameters to enable suitable functionality of the proposed methods under the envisioned conditions.

tialized with empty values or data from a database record, as follows:

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