Its completion time and system time can thus directly be found using the results presented in Section 3. Let us now analyze the performance of the low priority class for a two priority class system.
Using the results presented in [Sendra, J.R., Winkler, F., 2001. Tracing index of rational curve parametrizations. Computer Aided Geometric Design 18 (8), 771 795], the formulae simply involve the computation of the degree of a rational function directly determined from P t).
Using the results presented in this article regarding the effects of income on car ownership and public transport demand, it is found that the total effect (in elasticity terms) of income is 0,05.
Using the results presented in Fig. 4, one finds B C = 0.84 T: below this value the weak localization regime should determine the behavior of the conductivity of the sample, as observed.
These parameters can be easily computed using the results presented in[9, 14] and depend on the basic parameters of the network such as the CSMA transmission probability p, packet size τ, network size n, transmission radius r, and interference region factor Δ as well as network topology (planar versus sphere).
In this case, using the results presented by Holtzman in[23] and assuming that the fast fading components of all users in the system are identically distributed, it can be shown thatif the rate of user u is a function of its SNR f ( γ ν u ), the fixed point equation described in[23] has a unique solution when the throughputs are proportional to the average rate given by f ¯ = H.
We started such a process in Colombia and used the results presented here to implement reforestation of degraded land to prevent the isolation of a large area of cloud forest.
In Section 3, we will use the results presented in (4) and (6) to obtain the statistical properties of the capacity of Nakagami-m channels with MRC.
To the best of our knowledge, most studies on performance analysis of IEEE 802.11 MAC protocols use the results presented in [4] for their theories or discussions [8 13].
Other contributions [12, 13] used the results presented in [11] to study the effect of HPA on multiple-input multiple-output (MIMO) transmit diversity systems.
In other words, the aim here is to use the results presented in Section 4.1 as relevant cues in order to find a limited number of acoustic features that would be efficient for the implementation of an automatic perceptual classifier.
