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For some component events, engineering models are available for predicting behavior In these cases, reliability analysis can be used to assess probabilities associated with the components Reliability analysis propagates uncertainty in input parameters to uncertainties in predictions of performance The assessment problem is changed from estimating probabilities of adverse performance directly to estimating probabilities for the input parameters Once probabilities for the input parameters are assessed, any of a variety of simple mathematical techniques can be used to calculate probabilities associated with performance Among these are rst-order second-moment approximations, advanced second-moment techniques, point-estimate calculations, or Monte Carlo simulation Sometimes, experts elect to assess an additional component of uncertainty in the reliability analysis to account for model error.

By appending the wsdl attribute to the URL of the component that serves the Web service, you tell ColdFusion to automatically generate the WSDL description for the Web service, and the consumer uses this WSDL description to interface with the Web service. Now run TestHarness.cfm. If you don t see output just like what s shown in Figure 25-1, go back and check your code. Notice that we have collapsed most of the Company elements in the figure for readability.

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The increasing interest in biometry research is due to the increasing need for highly reliable security systems in sensitive facilities From defense buildings to amusement parks, a system able to identify subjects in order to decide if they are allowed to pass or not would be very well accepted This is because identity fraud nowadays is one of the more common criminal activities and is associated with large costs and serious security issues Several approaches have been applied in order to prevent these problems Several biometric modalities are already being used in the market: Voice recognition, face recognition and ngerprint recognition are among the more common modalities nowadays But other types of biometrics are being studied nowadays as well: ADN analysis, keystroke, gait, palm print, ear shape, hand geometry, vein patterns, iris, retina, and written signature.

Figure 25-1: Checking the CFDUMP of the parsed XML object. Edit the Value attribute of the CFINVOKEARGUMENT tag in the test harness to contain various values, including invalid ones such as peoples names, and re-execute the harness to ensure that your Web service responds appropriately to all possible inputs that are accepted through the Web service s interface. Never publish a Web service that hasn t been thoroughly tested for all possible inputs. After you ve corrected any problems with your Web service and tested it thoroughly, the Web service is ready to be consumed.

Web-service publishers must fully consider how their services are to be consumed and are also responsible for documenting any recommendations, caveats, and so on for their consumers. In fact, a good idea is to create a complete SDK, or Software Developer s Kit, for your potential consumers so that they can easily integrate your Web service into their own Web sites for their own customers (whom, you hope, now also become your customers).

New types of biometrics, such as electroencephalography (EEG) and electrocardiography (ECG), are based on physiological signals, rather than more traditional biological traits These have their own advantages as we will see in the following paragraphs An ideal biometric system should present the following characteristics: 100% reliability, user friendliness, fast operation, and low cost The perfect biometric trait should have the following characteristics: very low intra-subject variability, very high inter-subject variability, very high stability over time, and universality Typical biometric traits, such as ngerprint, voice, and retina, are not universal and can be subject to physical damage (dry skin, scars, loss of voice, etc) In fact, it is estimated that 2 3% of the population is missing the feature that is required for authentication, or that the provided biometric sample is of poor quality.

Although each platform has its own techniques for consuming Web services and displaying their results, we concentrate on a solution for remote ColdFusion MX-based systems because you can test these yourself. Because Web services almost always involve some element of display to the user, your best engineering solution for consuming them is most likely a custom tag, so that is the technique that you use in this chapter.

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