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^ The CRLB for a can be expressed as Var(a) ! J 1 1,1 . The computation of this quantity is straightforward, and for a ULA with N elements can be expressed as [19, 20] CRLB(a) 1 !: A2 w0 1 2 N(N 2 1) (sin a)2 s2 c 12 (3:9)

The final phase of the program is a little like the Perl script example that checked the Java files. The PHP script can make system calls to invoke compilations. Like Perl, PHP has a backticks operator that captures the output from a system call. There should be no output from a successful compilation; an incorrect program will result in error messages that can be returned to the student:

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Stickiness was identified as a desirable trait in the early days of the portals. Yahoo!, Excite, and Lycos were desperately trying to get people to stay longer. That's why directories and search engines tacked on features like news, weather, and sports-and free email and auctions and shopping and address books and - well, you know. How do we get people to stay longer, look at more pages, and see more ads For commercial Web sites, the question became one of branding and persuasion. First, how can we get people to stay longer to bond with our brand Coca-Cola offers screensavers, games, wish lists, and a tour of their bottling plant to drive the name and logo deep into the hearts and minds of consumers. It's a brand thing (see Figure 9.3).

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7.16 0.40 1.55 1.55 1.55 7.15 1.05 1.55 1.07 3.04 6.15 1.40 2.90 4.27 1.11 3.26 3.46 3.34 3.11 3.12 3.33

For each PDP-context j generated by MS i we extracted the total volume vj i and the duration dj i For each MS i, we considered the following attributes: total number ni of PDPcontexts, total transferred volume si = ni=1 vj i and total on-time ti = ni=1 dj i We show j j scatter plots of these three attributes with logarithmic binning, split to UMTS and GPRS in Figures 126 and 127 Each point represents the number of users i within the loglog binning1 In all plots there are boundaries due to admissible regions The empty region R1 in Figures 126(a) and 127(a) relates to the presence of a minimum value for the duration of a PDP-context, say dmin , which forces a user with ni PDP-context to stay online for at least si ni dmin .

ai 2 ai 2 ai 2 ai 2 ai + cos sin + sinh cosh (6.171)

We obtain that in this case GPRS and UMTS have a similar footprint In GPRS (Figure 127(a)), for ni > 100 there is a region R2 with correlations The average PDP-context duration is 121 s for this region We observed a dmin of 32 ms In Figures 126(b) and 127(b) the lower limit relates to the maximum available data rate (cumulated uplink and downlink) UMTS: 3203 kbit/s; GPRS 812 kbit/s The maximum achievable data rate is 384 kbit/s in UMTS and 856 kbit/s in GPRS This result is only a validation of the measurement, as there will always be idle times within a PDP-context We observe that Figure 126(b) is shifted to the right compared to 127(b); the mean values are indicated by the black x in the scatter plots This indicates a higher net data rate in UMTS.

push ebp mov ebp, esp sub esp, 5ch // save the old frame pointer to the stack // set the new frame pointer to esp // reserve space for local variables

The spreading is also smaller in UMTS The upper limit is due to the presence of a timeout for long inactive PDP-contexts In Figure 127(c) we can spot two different regions, not present in Figure 126(c) For ni 100 there is no signi cant link between the number of connections and the volume transferred The cluster of highly active users, with many PDP-contexts (>100) shows a correlation between these two values This indicates service messages of constant size The slope of the cluster cloud yields an average volume per PDP-context of around 18 kbyte as shown in Figure 1210 More detailed analysis of the size of the PDP-context (in up- and downlink) can be found in the following section on the PDP-context size In Figure 128(a) there are four curves, two per RAN.

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