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Table 21-1 Components of Kodak Imaging
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When the future is uncertain, it may pay you to have two forecasts, a best case and a worst case.
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Figure 9.16 Error in capacity estimation for different number of cells assumed in simulations in the uplink.
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Note that, in Figure 7.2, the largest surface charge density is found directly between the two dipoles. This induced charge density is a second-order effect because it comes about as a result of the rst Born approximation of a linearly polarized plane wave propagating in the z-direction as it rst induces an electric dipole in the conducting sphere and that in turn induces an additional surface charge on the at surface. It is important to note that this additional induced charge will not appear instantaneously on the at conductor surface but will be forced to satisfy temporal causality; that is, the charge will appear only after the speed of the E&M wave in medium 2 propagates to the surface (a time-retarded electric potential). By this time, the incident wave will have moved in the z-direction by the same amount. The retarded response will cause the maximum additional surface charge density to lag behind the inducing incident wave. Had the incident wave (that induced the dipole moment), pi, been shown, it would thus lie to the right in this gure by an amount equal to the distance xi (because the speed of propagation is the same in all directions in the propagating medium), a phase shift of 45 from the incident charge density.
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If TWAIN support is detected, the script calls SelectScanner. This invokes a built-in dialog box that lists all TWAIN-compliant imaging sources available. If no TWAIN support was detected, you can t proceed. Get a TWAIN-compliant imaging device first. Although many different imaging devices can be controlled via TWAIN, the Kodak Imaging tool specializes in scanners. You may or may not be able to use a digital camera or other devices. Non-compliant devices generate benign error messages.
Fully mobile and parallel character of WAVE-WP allows each aerial object to be discovered and accompanied with an individual mobile intelligence propagating via the computer network space, whereas the objects chased are moving in physical space, as shown in Figure 7.16. The spatial tracking process regularly checks visibility of the object from the current radar station. If the object (say, aircraft) disappears the neighboring stations search for it, using the created neighborhood infrastructure. And if such a station is found, the whole tracking process, with accumulated knowledge about the object, moves into this station and continues observing the object from there. A basic WAVE-WP code for this distributed tracking process may be as simple as follows:
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