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be searched grows More and more records have to be searched, requiring more time and resources Consequently, as more and more records are searched, the number of possible matches grows ( 17 explains this challenge in greater detail) Given that identification is more difficult, identification programs are still relatively difficult and costly for population sizes that reach millions or more people Identification matches return an ordered list of candidate matches (such as a list of possible criminals that might match a face in a shopping mall) This concept is also sometimes referred to as negative matching or negative identification (since generally the system discards those that do not match a predetermined list, like a criminal list) These systems tend to be more expensive as a result of the hardware and software needs Some of the key measurements in accuracy include the False Acceptance Rate (FAR) and the False Rejection Rate (FRR) see Figure 2-3 for the formulas The FAR, also known as a False Match Rate or Type II error, describes the number of times someone is inaccurately positively matched The FRR, also known as a False Non-Match Rate or Type I error, derives the number of times someone who should be identified positively is instead rejected The combination of the FAR and FRR can help determine which biometric device is more useful in a particular scenario Generally, the crossover rate, or the equal error rate, is the intersection of the rate of these two events (see Figure 2-4) The lower the crossover rate, the better the rating of the biometric system Usually in the course of matching (between a presented sample and a stored template), a score is developed Based on a set of parameters, the score is determined and if it reaches past a predetermined threshold, then the match is confirmed Matches can be done as a binary option or in multiple sequences In the binary option the score reaches the predetermined threshold or it does not In the multiple sequence scenario, a match score below the threshold triggers another biometric query (perhaps from a different device or perhaps the same device, which averages the score over several tries).

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Such splicing gear allows the operator to program in the amount of optical attenuation in dB Optical transmitters, receivers, splices, connectors, splitters, couplers, and attenuators are all the devices needed to put together an optical- ber communications network Such networks and their terminations can be very large, employing various stations containing a great number of cables and components Since miniaturization is often desired, optical stations can be mounted in surface cabinets and pedestals or in aerial-mounted housings and closures Many design choices and methods are available to those charged with designing a system

Figure 2-3

Figure 5-29 The Select Time Period panel allows designers to modify the historical time period shown as well as forecast future periods

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The rst use of optical ber in cable television applications was to replace the trunk cascade of coaxial cable ampli ers The replacement bene ted cable television systems enormously Nearly all the system noise and distortion contributions caused by the cascade of ampli ers were eliminated In addition, eliminating the trunk meant lower power consumption with less related costs and signal leakage from the trunk system The only drawback was the ber-optic signal was essentially light and was not an RF signal Conversion from the optical signal to an RF signal had to take place at each node or at many nodes Some progressive urban systems using the subsplit reverse or mid/high-split upstream transmission replaced the downstream (forward) trunk with optical ber and did away with their reverse systems As it turned out, few systems made this change, and those that did pulled the forward ampli er modules and used the old trunk system for only the upstream application The dif culty systems had facing this problem depended in large part on the availability of equipment types their manufacturer had available to rework the reverseonly system Systems considering optical ber additions should study the methods of ber-optic network topology as well as their cable system network topology Fiber-optic technology has many similarities to coaxial cable systems Both cables experience loss, which is a function of frequency, but ber-optic cables have a difference in loss versus frequency due to the material characteristics of glass Still, in systems operating at wavelengths of 1310 nm or 1550 nm, the loss is given in dB per kilometer, and the calculation of signal levels is done in much the same way as coaxial

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Figure 2-4

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