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(Remember that the This. inside the component instance correlates to Session.myCompany. outside the component instance). Hey doesn t this locking look a little weird Or at least very inconsistent Well it may look that way, but it s perfectly legitimate. Let us explain. You don t need to lock the instantiation of the component, even though it is being instantiated in the Session scope, because no race condition can possibly exist during instantiation. You also don t need to lock the call to Session.myCompany.InitCompany(10) because the InitCompany() function handles its own locking. But now you come to what appears to be a conundrum: How do you acquire a named lock where the name of the lock itself is in the Session scope Doesn t Session.myCompany.lockName need to be locked before it is accessed The answer is no because This.lockName (that is, Session.myCompany.lockName) is never written to more than once throughout the entire life cycle of the component s This scope (or the Session scope that, in turn, contains it). If This.lockName is, in essence, a write-once constant, no race condition can ever occur, so no locking is needed. If This.lockName can ever be rewritten, even with the same value that it already contained, you would need to lock it on every read. The decision to lock is based on whether the variable is written to memory only once or multiple times during its scope s life cycle and not whether its value changes from one writing to the next. You do need to ReadOnly lock access to Session.myCompany.companyName on outputting it, however, because it may be read while another piece of code attempts to modify its value. Similarly, you must exclusively lock any direct writes to the instance s This scope (via

Session.myCompany), as follows: <cflock name= #Session.myCompany.lockName# timeout= 10 throwontimeout= Yes type= EXCLUSIVE > <cfset Session.myCompany.CompanyName = Stan s Fans > </cflock>

ECG data are traditionally acquired for clinical diagnosis of cardiac function. Dubin [7] describes the link between cardiac function and the expression of the ECG trace.

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On a seismic hazard project undertaken by one of the authors some years ago, and described in more detail in the next chapter, great care had been invested in calculating liquefaction potential index (Yegian and Whitman 1978) for a particular industrial site in Tokyo Bay This LPI was used in the analysis to predict ground failure The result, expressed as a PDF, is shown in Figure 215 At about the time the analysis was done, a magnitude 65 earthquake occurred in the Tokyo area, causing 65 gal peak ground acceleration at the site and evidence of liquefaction within the facility perimeter How should this affect the calculated probability distribution of LPI Subjective estimates by several engineers were made of the new most likely value of LPI All of these were signi cantly in excess of LPI = 1 Figure 21.

Our preference is to directly set and get instance properties by using the techniques shown in the preceding section. They are quick, easy, sure, and perfectly legitimate techniques as long as you pay careful attention to locking requirements. Another technique is often favored by developers who come from the object-oriented world, where a whole slew of specific granular component functions are created for the sole purpose of setting and getting instance properties. So, for example, you don t want to do the following:

17

<cflock name= #Session.myCompany.lockName# timeout= 10 throwontimeout= Yes type= READONLY > <cfoutput> #Session.myCompany.city#,

Instead, you can create getter functions inside your component as follows:

In addition, he offers a set of rules for ECG interpretation. However, Dubin s work uses analog methods for applying these rules. With the advances in computational power and medical instrumentation, hardware/software systems have been developed for assisted ECG trace interpretation. The ECG trace contains a wealth of information. Researchers have been using ECG data as a diagnostic tool since the early twentieth century. Only in the last 35 years, however, have researchers been able to apply digital analysis to the data [9]. The most common digital application is heartrate variability (HRV) [10]. Researchers have applied numerical methods to more complex diagnostic interpretation tasks such as demixing mother fetal signals [11], identifying atrial and ventrical brillation [12, 13], myocardial infarction [14] and recently to characterize the uniqueness of the ECG to an individual [5, 15 18]. Except for the HRV studies, each researcher has developed ad hoc features from the ECG trace [19]. 17.2.2.1 ECG

<cffunction name= GetCity returntype= string output= No > <cflock name= #This.lockName# timeout= 10 throwontimeout= Yes type= READONLY > <cfreturn This.city> </cflock> </cffunction> <cffunction name= GetState returntype= string output= No > <cflock name= #This.lockName# timeout= 10 throwontimeout= Yes type= READONLY > <cfreturn This.state> </cflock> </cffunction> <cffunction name= GetZipCode returntype= string output= No > <cflock name= #This.lockName# timeout= 10 throwontimeout= Yes type= READONLY > <cfreturn This.zipCode> </cflock> </cffunction>

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