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and can pinpoint the cause of the con ict. In other words, the process used is to (a) provide as input to the system a predicate that states that a given con ict holds and (b) allow the system to reason about the sequence of events that could lead to the occurrence of the con ict. If the system fails to nd such a sequence, then one can deduce that the system is free of the speci ed con ict. If the system does succeed in nding such a con ict, then the returned sequence of events will provide information about the source of the con ict. By analyzing this sequence of events, one can then pinpoint which policies led to the occurrence of the con ict and then determine how to handle the con ict. As will be shown in the rst example in the Case Studies section (see Section 4.7), con ict resolution policies can be put in place to deal with different types of con icts. 4.6.2.2.3.10 summary. The main drawbacks of the Event Calculus approach to policy con ict detection and resolution include the following: 1. Complexity: It is a highly complex process that involves creating the above-listed models and running queries on the identi ed potential con icts. The process of specifying application-speci c predicates to de ne the effects of policy actions on the system requires a high level of expertise and is extremely error-prone. 2. Con ict Resolution: The approach does not provide any solution for con ict resolution. It only provides an approach for con ict detection. However, the approach could be applied for detecting con icts such as those described in the previous section, which are not application-speci c, since there is no need for application-speci c modeling in this case.



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821 Return Loss Characteristics The return loss characteristics of an infinite array of horns are studied and the results are presented in Figures 82a b The array elements are excited with uniform amplitudes and linearly progressed phases (Floquet excitation) The input return loss of an element with respect to the TE01 incident mode versus the scan angle is plotted for three different scan planes The return loss varies widely with the scan angle For the 065 0 ( 0 is the wavelength in free space) square horn array in a square grid and of cell size 0 7 0 0 7 0 , the return loss for the bore-sight beam is about 14 dB The major portion of this reflection takes place at the aperture end because of the mismatch between the waveguide modes and Floquet modes.





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A cascade of voltage ampli ers can be considered an equivalent standard module, driven by the standard impedance at the output of the preceding cascade, as in Fig. 3.2, switch position 2. R0 might represent the well-controlled output impedance from the preceding part of a cascade or it might be the standard interface impedance of a cable connecting the cascade of voltage ampli ers to preceding standard-impedance stages. Recall that the noise factor used in Section 3.3 was also measured with a standard interface impedance. If the input to the voltage-ampli er section is not well matched to R0 , it will be important that the output of the last module in the preceding section be well matched to the cable impedance to prevent excessive variations in cable gain at the interface.

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The return loss generally improves for larger aperture horn arrays because the fundamental Floquet modes and the dominant waveguide mode (the TE01 mode) match well for a larger aperture As shown in Figure 82b, the return loss for the bore-sight beam is better than 19 dB for the 149 0 square horn array The return loss curves have several dips and peaks, and some of them appear as sharp spikes These dips and peaks are primarily due to the grazing lobes, also known as end-fire lobes In Figure 82a the peak near the 23 scan angle on the E-plane is due to the grating lobe at the 90 location This grating lobe corresponds to the TM( 1 0) Floquet mode (to avoid a negative subscript, we place the mode indexes inside parentheses).

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