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We rst consider the q-composite scheme This scheme is very similar to the one in [17] The difference, though, is that, in order to form a secure link, this scheme requires at least q common keys, q 1, between any two nodes, as opposed to the scheme in [17], where a single common key is needed for any two nodes to communicate securely By requiring more common keys between any two nodes, the connectivity of the network is impacted This is due to the fact that it is now more dif cult for two neighboring nodes to set up a secure link between themselves At the same time, the resilience of the network against node capture is increased This is because increasing the common key threshold makes it harder for an attacker with a given set of keys to break a link between two noncompromised nodes

The accountant s raison d tre in the functional organization is maintaining cost efficiency of the project teams Accountants support and actively monitor project budgets and, as such, are sometimes perceived as the enemy by project managers We suggest that this perception, while convenient, is incorrect To be able to manage the project, to make the necessary decisions, and to communicate with the customer, the project manager has to stay on the top of the cost of his project in real time That is why he needs an efficient cost control and reporting mechanism Accountants perform an important administrative service for the project manager Canny project managers will work to make an ally of accountants rather than simply assume that they serve in adversarial capacities

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However, the most important aspect of reproducing kernel Hilbert space is the fact that the choice of an orthonormal base of this space makes it possible to obtain a series representation of the eld, which is often called Karhunen-Loeve expansion THEOREM 61 Any orthonormal base (en (x))n N of HX , is associated with an orthonormal base of HX , ie ( n )n N , by the relation: h n = en The random variables ( n )n N are the centered independent Gaussian variables of variance 1 and the eld can be represented by:

Xx ( ) =

n ( )en (x)

.

(65)

where the are hazards of the space of probability and convergence in (65) is in the direction L2 ( ) The preceding theorem is true for any eld and for any orthonormal base of HX In fact, a martingale type argument shows that convergence is almost sure, which is important, particulary when simulating the elds of interest here Nevertheless, a judicious choice of the orthonormal base of HX is necessary for conveniently studying the regularity of the trajectories of these elds We will illustrate these ideas in the fundamental example of FBM in the next section 622 Harmonizable representation By way of example, let us seek the reproducing kernel Hilbert space of the FBM: we will deduce from it a Karhunen-Loeve expansion which will form the basis for

The functional managers who occupy line positions within the traditional chain of command represent an important stakeholder group As we noted in One, most projects are staffed by individuals who are essentially on loan from their functional departments In fact, in many cases, project team members may only have part-time appointments to the team, while their functional

studying the trajectorial regularity of the generalizations for FBM Let us begin with the de nition of the FBM, starting from its covariance DEFINITION 62 We will call FBM of order H the real centered Gaussian eld BH given by the covariance: E BH (x)BH (y) = where 0 < H < 1 and where 1 2 x

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