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Regardless of what other analyses you may have planned, your next step is to read the grid as a whole, and familiarise yourself with what s there. If the grid is one which you have elicited yourself, and you re familiar with it already, you need to step back from the detailed elicitation procedure and provide yourself with an overview. This is a simple description of what the grid presents, before your very eyes and with nothing up your sleeve. An eyeball analysis was what I drew on in Section 2.2, when I described the grid which appeared in that section as Figure 2.1. You should always carry out an eyeball analysis before doing anything else, especially if:

Figure 10-4

Example: Suppose the packet interarrival time is exponentially distributed with a parameter l, the probability that k packets are generated in a given time has a Poisson distribution, and; z B (l ,T, g Th, g B ) = P[ne - t T > g B n > g Th , t ] ft (t )dt = le - lt

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7

If the nodes that you want to test for unique values are siblings, use the following:

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lumbar spine lateral exion and extension to compensate for poor joint exion at prosthetic sites (Halpern et al 2001) Therapy focusing on back strengthening and exibility can assist in minimizing these problems Increased injuries to the intact limb are also a concern The athlete may increase the stress applied to the intact limb resulting in overuse injuries such as plantar fascitis or Achilles tendonitis, as well as the development of stress fractures Increased rates of degenerative joint disease may also be seen Close assessment of running and walking gaits by sports medicine professionals should be performed on these athletes Based on this assessment, appropriate physical therapy and prosthetic devices must be employed to minimize the risk of injuries Blind athletes Visually impaired athletes compete in many different sports either independently with the use of assistive devices (eg.

sum of $100 per day for each calendar day of inexcusable delay until the work is substantially completed, as liquidated damages. ARTICLE 9. WARRANTY

10.6.8. Transmission Power Optimization 10.6.8.1. Flow Augmentation Routing (FAR). This routing algorithm assumes static topology and minimizes the sum of link costs, each given by: [eij]x1, [Ei]x2 and [Ri]x3, whereas; e ij = Energy cost per unit of transmission over the link (i, j ). Ei = initial energy of transmitting node. Ri = Residual energy of transmitting node. x1 , x 2 , x3 = Exponents of the energy parameters. 10.6.8.2. Online Max-Min Routing (OMMR). OMM nds the shortest (minimum energy Pmin) path by using Dijkstra s algorithm. Then, it de nes a set of paths not deviating more than zPmin from the shortest path. From, these, it chooses the one that maximizes minimum residual power. z is the tradeoff between the max-min path and min-path. 10.6.8.3. Power-Aware Localized Routing (PLR). This mechanism depends on selection of appropriate neighbors without global route search. 10.6.8.4. Minimum Energy Routing (MER). MER includes the power levels that should be used by each intermediate node. These levels are calculated during initial phase when each receiving intermediate node calculates the required power from the knowledge of transmitted power and received power. The algorithm has eight options, some in rmware and others implemented in software. 10.6.8.5. Retransmission-Energy Aware Routing (RAR). This protocol considers the effect of link retransmissions on power consumption. 10.6.8.6. Smallest Common Power (COMPOW). This protocol requires each node to make routing tables for each of a discrete set of transmission powers (P1, P2, . . . , PN) and select the minimum of these that result in a connected graph.

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