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(1989), Acoustics: An introduction to its Physical Principles and Applications, Acoustic Society of America, Woodbury, NY Stiles, J M and K Sarabandi (1995), A scattering model for thin dielectric cylinders of arbitrary cross section and electrical length, IEEE Trans Antennas Propagat, 44 (2), 260-266 Stratton, J A (1941), Electromagnetic Theory, McGraw-Hill, New York Temkin, S (1981), Elements of Acoustics, John Wiley & Sons, New York Tsang, L, K H Ding, G Zhang, C C Hsu, and J A Kong (1995), Backscattering Enhancement and clustering effects of randomly distributed dielectric cylinders overlying a dielectric half space based on Monte-Carlo simulations, IEEE Trans Antennas Propagat, 43 (5), 488~499 Tsang, L, J A Kong, and R T Shin (1985), Theory of Microwave Remote Sensing, WileyInterscience, New York van de Hulst, H C (1957), Light Scattering by Small Particles, Dover, New YorkRelated: Word PDF417 Generator , Code 39 Generation .

The opposite trend is observed for GMRE For low tmin values, the sink stays at sites on the corners and on the perimeter, which leads to and average packet latency up to 30% higher than those experienced in the RM case When tmin increases, the sink sojourns less at corner sites, which implies a decrease of the average latency Although the above discussion allows us to understand the subtle differences between the performance of the investigated schemes, there is very little variance amongRelated: NET Intelligent Mail Generator.

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3-31. Control pdf 417 image on .net using barcode drawer for aspx control to generate, create pdf417 . Flaws occur at random along the length of a thin copper ire. Let X denote the random variable that counts the number of flaws in a length of L millimeters of wire and suppose that the average number of flaws in L millimeters is . The probability distribution of X can be found by reasoning in a manner similar to the previous example. Partition the length of wire into n subintervals of small length, say, 1 micrometer each. If the subinterval chosen is small enough, the probability that more than one flaw occurs in the subinterval is negligible. Furthermore, we can interpret the assumption that flaws occur at random to imply that every subinterval has the same probability of containing a flaw, say, p. Finally, if we assume that the probability that a subinterval contains a flaw is independent of other subintervals, we can model the distribution of X as approximately a binomial random variable. Because E1X2 we obtain p n np.Related: 

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Code 39 In .NET Framework Using Barcode generator for ASP.NET Control to generate, create ANSI .with performance evaluation works [ 8, 15, 16] which show that queue length distribution decays ore slowly for long-range dependent sources than for shortrange dependent sources. Figure 14.11(c) shows the queueing delay-packet loss trade-off curve for four levels of a. The individual performance points were obtained by varying buffer size while keeping bandwidth xed at the baseline value. The performance curves show that under highly self-similar traf c conditions, the negative effects of self-similarity are signi cantly ampli ed in the packet loss rate regime below 4%. A similar tradeoff relation exists for queueing delay and throughput. The effect of varying bandwidth to obtain the trade-off graphs and evaluation of the marginal bene t of network resources is shown in Figure 14.12. We observe that bandwidth affects a smooth, well-behaved performance curve with respect to self-similarity. It is, in part, due to this behavior that a ``small buffer capacity=large bandwidth'' resource provisioning policy is advocated. .Related: 

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where nk is the number of ants Using equation (173), the total pheromone intensity of a link is proportional to the desirability of the paths in which the link occurs, based on the length of the cork responding path The deposited pheromone, ij , calculated using equation (173), expresses the quality of the corresponding solution For SACO, the quality of a solution (the constructed path) is simply expressed as the inverse of the length of the path in terms of the number of hops in the path Any other measure can be used, for example the cost of traveling on the path, or the physical distance traveled In general, if xk (t) denotes a solution at time step t, then f (xk (t)) expresses the quality of the solution If k is not proportional to the quality of the solution and all ants deposit n 1 2 the same amount of pheromone (ie ij = ij = = ijk ), then it is only the di erential path length e ect that biases path selection towards the shortest path very similar to the observations of Deneubourg et al [199] This discussion leads to the two main forms of solution evaluation employed by ant algorithms, namely implicit evaluation, where ants exploit the di erential path length e ect o bias the search of other agents, and explicit evaluation, where pheromone amounts are proportional to some quality measure of constructed solutions If the amount of pheromone deposited is inversely proportional to the quality of the solution (as is the case in equation (173)), then the larger f (xk (t)) (that is, the worse the constructed solution), the smaller 1/f (xk (t)), hence the less the amount of pheromone deposited on the link Thus, a long path causes all the links of that path to become less desirable as a component of the nal solution This is the case for any quality measure, f , that needs to be minimized Any of a number of termination criteria can be used in Algorithm 172 (and for the rest of the ant algorithms discussed later), for example, terminate when a maximum number of iterations, nt , has been exceeded; terminate when an acceptable solution has been found, with f (xk (t)) ;.

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