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1 {k r j ( k r ) + (1 2) (l ) hl(1)( k2r )]} k2 r ( k2 r ) 2 [ l 2 i aE (l,1) = 4 ( 2l + 1) (6.151) 1 2 {kc r [ jl ( kc r )]} ( kc r ) ( kc r ) r = ai With these coef cients in Equations 6.148 and 6.149, we have found the electromagnetic elds inside a good conducting sphere. A picture of these elds (using J c = cE c) is shown in Figure 6.17. In Figure 6.17, the induced current density, J c = cE c, and total magnetic eld intensity are propagating inward at a relative slow phase velocity (compared with

H H ck hi s(n; i) + ck u(n), and its vari-

2

10

Figure 1.3 Percentage of defects. Applied Software Measurement, Capers Jones, 1996

100 150 200 Number of tasks (frames)

Static HTML pages: Login.html A simple form with input fields for name and membership number. NoDB.html Apology page displayed if have problems with database access. NonMember.html Page displayed if submitted username/membership number combination appears invalid Servlets: LoginServlet This has a doPost function to handle data from the Login.html form. If login is

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as a way of introducing yourself on a cold call, in networking meetings, or to answer that dreaded interview question, Tell me about yourself. When spoken, the sound bite can take anywhere from fifteen seconds to two minutes to say, depending on what is appropriate for the situation. You ll use the shorter sound bite (usually about 15 to 30 seconds) when time is short, such as when leaving voice mail or introducing yourself to someone at a networking event. You ll use the longer version, speaking for up to a minute-and-a-half to two minutes when someone asks you to tell them about yourself, such as during a networking meeting or interview. Having a self-marketing sound bite keeps you from having to reinvent the wheel every time you approach someone, though you do tailor it slightly to fit each situation. By scripting and practicing a self-marketing sound bite from Day One of your search, you ll save yourself lots of time and worry after the search is underway. You ll also communicate much more effectively than those who try to wing it and end up rambling or getting tongue-tied.

Figure 14-17

The rule grasp seizes the nodal resources and keeps them solely until the code it embraces terminates (the latter checking the node mark kept in nodal variable N, and marking the node if it is not marked). This resolves a possible con ict between different branches entering the same units when creating the next level of the hierarchy. A possible resultant infrastructure built by this program is shown in Figure 7.10. This infrastructure may not be optimal as, for example, it contains chains of units 5 10 2 12 and 3 11 14 (rather than preferred hierarchies). Changing the physical range within which the directly subordinate units should reside (possibly, adjusting it individually for different nodes), also introducing more intelligent link-building strategies into the program above (which can be effectively done in WAVE-WP) we can receive more suitable infrastructure solutions, say, as the one shown in Figure 7.11. The two programs discussed above, that is, nding the central unit and creating neighborhood infrastructure from it, can work together as one program, being initially applied from any unit. We can also put the united program in a global cycle (with a period, say, 360 sec), each time updating the infrastructure actually creating it again from a possibly new central unit. As the units can potentially be on a move, changing both absolute and relative positions, this will constantly keep the infrastructure updated and optimized. The resultant program, starting from any unit and doing all this, also deleting the previous infrastructure links before creating the new ones, will be as follows:

[ medium( ) medium Ho2( w dz )] = (2 )( dz medium [(1 2) medium H02( w t )]

(5.109)

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Attempted versus unattempted test cases Business risk to not correct Code earmarks Customer defect discovery correlation Defect backlog Defect log discovery curve Successful versus unsuccessful test cases Rayleigh curve Root cause analysis Severity codes

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