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It is easy to calculate the exact measure of each dyadic interval un (x) containing the point x by using the base 2 expansion of x Denote: N0 (x, n) = number of 0 in the expansion of x between ranks 1 and n N1 (x, n) = number of 1 in the expansion of x between ranks 1 and n Thus, N0 (x, n) + N1 (x, n) = n and: un (x) = pN0 (x,n) (1 p)N1 (x,n) (114)

Page 170 this data if it is timely and actionable meaning that the findings can lead to immediate corrective action Part of the answer to the timing question lies in the length of the project undertaken If, for example, a project takes over a year to complete, your firm should work with customers initially to address their chief concerns Then, at various stages of project completion (eg, engineering and design, procurement, fabrication), the organization develops regular toll gates to assess their own performance to date based on the identified key success factors Likewise, these event points also allow the company to update customer expectations, answer questions, and strengthen communication links Feedback to the contact personnel (both internal and external) Who are the key individuals who should be kept in the reporting loop Once customer satisfaction data is generated, who are the personnel within our organization who should immediately be informed of any status changes and recommendations for corrective action One of the problems that often emerges, even when we are able to collect useful data, is knowing who should be informed in a timely way If a specific quality assurance representative or project team core member is charged with maintaining all customer-related information, they must then serve as the conduit for further dissemination, particularly to the customer It is common in many companies to make positive information widely available and suppress or severely limit the flow of negative or troubling news This tendency, though understandable, should be resolutely avoided in this new model for several reasons First, it assumes that customers do not know the state of their own dissatisfaction, as if they may be unhappy but somehow do not know it! Obviously, this belief is a canard When we pick up evidence of dissatisfaction with customers, the first people who should be informed are the.

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Im(s)

-20 -1

Re(s)

Figure 79 Position in the Laplace plane of the poles of the models with losses ( = 025) and without loss ( = 0) Legend: o: = 1, : = +08

(seed)

7531 Decomposition into wavetrains This is undoubtedly the most physically meaningful decomposition By expanding the fraction in (748) into power series, which is legitimate for e(s) > 0 in the case | | < 1, then by applying the inverse Laplace transform term by term, we obtain the following wavetrain decomposition of the system:

h(t) =

k (2k+1) t (2k + 1)

.

(749)

The signature eld contains the signature of the node originating the SAODV message on the complete SAODV message, excluding the hop count (in the basic AODV message) and the hash value eld described next The last eld, which is the hash value eld, is initially set to be equal to the seed We will discuss next how the SAODV message extensions can be used for supporting the two SAODV security schemes 4211 Digital Signatures for SAODV As mentioned earlier, the rst scheme in SAODV provides authenticity of the nonmutable information in the routing messages Originators of routing messages (eg RREQ, RREP) digitally sign each message (excluding the hop-count eld in the AODV message and the hash eld in the SAODV extension), which ensures that nodes do not impersonate other nodes Thus, digital signatures are used

where (t) is the fundamental solution of a 3D diffusion process (ie, parabolic heat equation): (t) = L 1 e

(750)

In Figure 710a, we represent function 1 , that is, the elementary lossy wave: it is a function of class C of which all the derivatives are zero at t = 0+ and which decreases like t 3/2 at in nity; it is integrable and it even belongs to L1 , L2 , , L , 1 with norm p = 2(1 p ) 1 p An interesting property is that we again nd the case without loss of the classical wave equation: 0 (t) = (t) (as a limit in the sense of distributions), which does not have any of the regularity properties of when > 0 Moreover, the family of functions obeys the following scaling law: t (t) = 2 1 2

(751)

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