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The emergency communication plan is developed in cooperation with the director of security, the front of ce manager, and local civil authorities. These individuals are responsible for developing a plan that will be used in the event of an impending lifethreatening emergency and will also include considerations for training staff and employees.

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REGRESSION When dealing with regression, issues related to power become more complex. To explain the basic issues, it helps to begin with simple regression, where two variables are observed, X and Y, and it is assumed that Y =

As mentioned previously, Point 1 may be rede ned as a long-distance network consisting of a grouping of local areas probably coinciding with a numbering (plan) area. This is illustrated in a very simpli ed manner in Figure 8.5, where T, in CCITT terminology, is a higher-level center, a Level 1 or Level 2 center. Center T, of course, is a long-distance transit exchange with a fan-out of four; these are four local exchanges (A,

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52 postmenopausal breast cancer survivors ( 14 mo posttreatment) 11 breast cancer survivors (<1 y posttreatment)

stamp extracted from CSI from cells with odd sequence numbers. The residual time stamp is transmitted over eight cells. It supports DS1, DS3, and E1 digital streams. Another mode of operation is structured data transfer (SDT). SDT supports an octetstructured n DS0 service.

Figure 4-9

T A B L E 14.2. Performance of the Nonadaptive Inferential Sensor Based on (14.5) (14.8)

Figure 11-1

Figure 7.14 Adaptation architecture con gurations (the cube shows the location where adaptation takes place).

As pointed out in previous sections, any algorithm able to solve the system of equations (19) can be used in a decoding algorithm for RS codes Among these algorithms are the Euclidean algorithm and the B M algorithm, both introduced in previous sections in this chapter In the particular case of the concatenation of the RS codes CRS (28, 24) and CRS (32, 28), the errorcorrection capability of each of these codes is t = 2, so that the error pattern polynomial is of the form of (54), in which e j1 , e j2 , X j1 and X j2 are the unknown variables that are the positions and values of the two possible errors Since the number of unknown variables is 4, there must be a system of at least four equations to uniquely determine these unknown variables.

Alt1: Alt2: Alt3: Alt4: Alt5: Alt6: Alt7: Alt8: (SLBname = Main (Account)) NJN Branch Branch NJN (SLBname = Main (Account)) (SLBname = Main (Branch)) NJN Account Account NJN (SLBname = Main (Branch)) SLBname = Main (Account NJN Branch) SLBname = Main (Branch NJN Account) (SLBname = Main (Account)) NJN (SLBname = Main (Branch)) (SLBname = Main (Branch))NJN(SLBname = Main (Account))

This system of equations comes from the calculation of the four syndrome vector components obtained by replacing the variable X in the expression of the received polynomial r (X ) by the roots of the corresponding Galois eld , 2 , 3 and 4 The received vector is considered to be a valid code vector if the four components of the syndrome vector are all equal to zero Otherwise there is at least one error in the received vector If the number of errors is equal to the minimum distance of the code, in this case dmin = 5, then the received vector may convert into another code vector In this case the error pattern is beyond the error-correction capability of the code.

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