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The information subquery is similar to the earlier version, with the mode and antimode values removed (just to simplify the query for explanation). There are three other modifications to the query. The first is to include a placeholder called <start> at the beginning. The second is to include the column name and the third is to convert the minimum and maximum values to strings, because all values in a given column need to be of the same type for the UNION ALL. The resulting query has the general form:

13-2.1.4 Laminar Micromixing. Looking at the simple case of laminar mixing the initial feed of reactant appears as a blob which is then stretched by the laminar mixing action. The blob is still at its inlet concentration. Molecular diffusivity starts to spread the reactant out and reaction takes place at the interface. With progressive mixing the interface stretches increasing transfer area and reducing diffusion distance. There may also be an interchange of streamlines if a mixer is present. The growth and redistribution of streamlines is discussed in 3 on laminar ow and in the work of Ottino (1980). The process continues until all the controlling reactant is used up. A good example of this technique applied to a copolymerization is the work of Tosun (1997). 13-2.1.5 Turbulent Micromixing: Effect of High Viscosity. In a turbulent eld a similar phenomenon happens when a blob of one reactant is distorted and diffusion and chemical reaction take place. The initial model of Bourne pictured a blob of reactant uid that rapidly broke down to the smallest eddy size without much diffusion and reaction. The smallest eddy size is the Kolmogorov size, and at that size diffusion takes place via molecular diffusion [see eq. (13-15)]. Later, Bourne abandoned that model and went to an engulfment model based on

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less dense network, the mean RXLEV values were between 5 and 10 dBm lower than in the urban area. The measurements collected have been processed off-line with the CI, CI + TA and CI + TA + RXLEV location methods described in Section 4.3. Each method determines a location estimate by processing only one measurement report. The location error, de ned as the distance between a GPS reference location and the corresponding location estimate, is used as a measure of location accuracy. Location error statistics are shown in Figure 4.16. It can be seen that the CI + TA + RXLEV method outperforms the other two methods in the urban area, while in the suburban area it performs essentially as well as CI + TA. Both CI + TA and CI + TA + RXLEV methods are signi cantly more accurate than the CI method in both environments for all percentiles. Therefore, CI + TA and CI + TA + RXLEV methods reduce not only the average location error but also the maximum error. For example, when comparing CI and CI + TA + RXLEV methods, the 99% percentile reduces from 2 to 1.2 km in the suburban area, and from 770 to 620 m in the urban area. Controlling the maximum location error is crucial; in fact, larger than expected location errors may negatively affect the customer s perception of service reliability and can decrease the customer s interest for LCS. The absolute values of the location errors depend strongly on the network as well as the environment where the measurements are performed. The results shown in Figure 4.16 can be used to estimate the accuracy of the methods in different conditions if the network dependence is somehow reduced. This can be done by properly scaling the location error.

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