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In this situation the ratio b/a, which measures the proportion of throughput the network can really achieve compared to the ideal case, is the best metric to evaluate robustness But it is dif cult to extend it to a general case Actually, the quantity 2b/(a + b) can re ect the ratio b/a correctly In fact, if we choose b/a in the example above, b/a = 1 (a b)/a would suggest a quantity 1 d(F , F)/d(F 0 ,F ) This quantity is not suitable to, for example, the case that packet delay is chosen as a performance metric Assume that the packet delay is a constant a when there is no disturbance to the network The packet delay is another constant b (b > a) when there is disturbance to the network.

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The quantity 1 d(F ,F)/d(F 0 ,F ) in this case is 1 (b a)/a = (2a b)/a, which results in a negative value when b > 2a As such, rule 3 is not satis ed by 1 d(F ,F)/d(F 0 ,F ) One may alternatively choose a/b as a robustness metric in this case This time the ratio (b a)/b re ects the proportion of increase in packet delay But with a similar reason given above for the case of network throughput against packet delay, the quantity 1 d(F ,F)/d(F 0 ,F ), which is the general form of 1 (b a)/b, cannot apply to the case of throughput The quantity 1 d(F ,F)/d(F 0 ,F ) takes value 2a/(a + b) this time Once again, it can re ect the ratio a/b correctly.

The output from the application processing is the result of the functions performed and the deliverables of the design criteria. These systems will

In this section, we will consider what information a consultancy might need to store as XML. Of course, although this example will be more complex than

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From the discussion above we see that the quantity 1 d(F ,F)/d(F 0 ,F ) satis es rules 1 to 3, and it can re ect robustness well in the cases of network throughput and packet delay Now, we give the following de nition of robustness metric De nition 62 Assume that the performance reference is given by a distribution function F The performance observed when there is disturbance D appears as a random variable Y ( D) with distribution function F D We de ne robustness as follows: R( D) = 1 d(F ,F D )/(d(F 0 ,F ) + d(F 0 ,F D )) Remarks 1 To de ne the robustness metric, we adopt the 2-distance (ie, we choose q = 2 in De nition 61) We need to assume that the second moment of the random variables considered exists.

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We believe that this assumption is natural 2 In De nition 62 we consider robustness as a function of disturbance level D, where D can be one- or multidimensional, according to the number of disturbance factors Possibly, in some network systems the disturbance may not be quanti ed..

As we can see, the crash took place at address 0x2c820 due to an illegal instruction, likely because we have probably fallen too short to hit the nops. Following the stack trace shows us that we have jumped to the heap from the dynamic linker, and we find that the address 0xff3c34f0 is mapped where the ld.so.1 .text segment resides within dtspcd s address space.

PD PDF PFD PGA PHEMT PHY PLCP PLL PPDU PPM PTAT QAM QoS RMS RSSI Rx SAW SDM SiGe SIMO SNDR SNR SSB STA TCP TIA TR TSSI Tx UNII VCO VNA VOIP VSA WCDMA WEP WLAN XO ZIF

This problem can also be solved numerically with the use of the PSpice program and the net list below to yield the voltage (voltage), as shown in Figure 3.8. Net List: VS RS CS T RL LL .AC .PRINT .END 1 1 2 3 4 5 LIN AC 0 2 3 0 5 0 1 VM(3) AC 50 31.8p 4 50 159n 1E6 VM(4) 2 30 Z0 = 50 TD = 3.333n

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