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activities and unplanned reactive activities such as late suppliers and quality problems. As discussed in 12, the management of the critical path is usually focused on the task schedules and their dependencies, as represented by the structure of the project network. But prematurely focusing on precise calculation of the critical path may be missing the forest for the trees. The purpose of this section is to highlight the interdependency between the technical development tactics and the critical path throughout the project cycle. Deployment strategies have a strong inf luence on the critical path, especially the early part. A strategy might be to capture market share by deploying a system solution quickly even though it might not initially achieve its full performance goals. Another strategy might be to field a system that is easily upgradeable after introduction to provide after-market sales. The resulting development tactics, selected for system entities, determine the connections among tasks and the relationships that form the project network. When the predicted task schedules are applied, their summation determines the length of the critical path. In considering the development tactics, we sometimes misjudge the importance of integration, verification, and validation (IV&V) tactics. Projects that require the ultimate in reliability will usually adopt a bottom up step-by-step IV&V sequence of proving performance at every entity combination. High-quantity production systems may skip verification once the production processes have been proven to reliably produce perfect products. Yet other projects may elect a threaded or big bang verification approach. It is not uncommon for different project entities to embrace different taskdependent verification and validation tactics. The tasks associated with these tactical decision activities must also be incorporated into the critical path to accurately represent the planned approach. These system integration and verification activities will almost always be on the critical path. The next chapter addresses IV&V in detail.
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APPLICATIONS with the penetrating capability of X-rays, it makes -XAS ideal for complex or dif cult samples, like y ashes. The study has been performed on y ashes from a bubbling uidised bed (BFB) combustion unit of 2 15 MW red with MSW. Only textile lter ashes were investigated here. Eleven single particles of different dimensions (varying from ca. 30 to 200 m in diameter) were selected and each of them was glued on a 100 m diameter quartz capillary before the -XRF analysis. XAS experiments were performed only on the particles presenting high Cd concentrations (three particles) and only on those spots where Cd was predominantly accumulated (four spots totally), as shown by the XRF maps. Both -SRXRF and -SRXAS measurements were performed in the 1st experimental hutch of the ID22 beamline (EH1) of the ESRF. For the demagni cation of the synchrotron source and creating the microbeam, a compound refractive lens (CRL) consisting of 94 individual Al lenses was employed. A Au knife-edge sample was used to determine the size of the focused beam. The beam size was H V = 10 8 m2 during uorescence experiments and 12 3 m2 during the absorption experiments. The NIST-SRM1832 thin glass and Cu and Au thin metal foils (Goodfellow, UK) were measured in order to estimate the number of incident photons. All the -XRF experiments were performed by using monochromatic radiation at an excitation energy of 27 keV. Cd K-edge -XAS experiments were performed on pure Cd compounds and y ash particles as well. The reference compounds used in this study (Cd, CdCl2 , CdO, CdSO4 , CdS, CdBr2 ) were chosen due to their probability to be found in the ash material. A small amount (0.5 mg) of each reference material was crushed and mixed with 0.3 mg of boron nitride and pressed to form pellets of 1 mm thickness. The reference XAS spectra were recorded in transmission mode. Due to the low Cd concentration and the small dimensions of the y ash particles, their XAS spectra were recorded in uorescence mode. Due to the relatively small thickness of the y ash particles,
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The relationship between the rate of uctuations in the frequency domain and the rms multipath spread is the same as the relationship between the rate of variations in the time domain and the rms Doppler spread. In other words, there is a kind of duality between the time- and frequency-domain statistics of the channel response. Therefore, the Rice distribution for the number of fades crossing a certain threshold is also applicable to the number of frequency-selective fades crossing a certain threshold level, with rms multipath delay spread replacing the rms Doppler spread. Using the Rice fading distribution given by Eq. (4.3.2), with rms replacing fM , the average number of fades crossing a threshold A in a bandwidth W is given by 2 (10.2.1) K = W 2 rms e where = A/Arms is the ratio of the threshold level to the rms value of the amplitudes. Similarly, we may use Eq. (4.3.3) to determine the average width of the fade in the frequency domain. For an FHSS system occupying a band of width W , if rms is small enough so that K < 1, there is no deep notch in the operating band, and the channel is considered a at-fading channel. For larger values of rms , we have at least one deep fade in the operating band of the system, and the FHSS must operate in frequency-selective fading. Let us now assume that there is only one deep null in the operating band of an FHSS system and that the width of the fade is such that it affects only one of the hop frequencies. The error rate of the modem is unacceptably high each time the signal hops to the faded frequency, but is extremely low for all the other hops. This situation is similar to that of the same system operating on a channel with a xed narrowband interferer which disrupts only a single hop frequency. In both cases the SNR drops signi cantly on certain hops. Therefore, the performance analysis here would lead to the same equations as those used to analyze the FHSS system operating in narrowband interference, which is discussed later. Also, as in the case of narrowband interference, the FHSS system can be designed with appropriate coding and interleaving to correct the errors occurring on the hops into the frequency-selective fade. In an FHSS system, coding becomes more effective as the fading on neighboring hop frequencies becomes more independent, and this happens as the transmission bandwidth is increased. If the data rate of an FHSS system approaches the coherent bandwidth of the channel, a large number of hops will be affected by the frequency-selective fading; and even with very strong coding and long interleavers, error correction is inadequate and the output error rate becomes unacceptably high. Example 10.4: FHSS in GSM In voice-oriented networks, there is often no retransmission mechanism. Corrupted packets are either discarded or are retained with a wrong value, in both cases causing distortions in the voice signal at the receiver. In TDMA systems, if the channel coincides with deep frequency-selective fading or when the co-channel interference (CCI) from another cell using the same frequency is excessive, distortion in the received voice signal will persist until the terminal moves adequately and the frequency-selective fading pattern is changed or the CCI is reduced. One method to reduce the duration of the frequency-selective fade or excessive CCI situations is to provide for a slow frequency-hopping pattern that forces a restriction on the duration of the frequency-selective fading or CCI effects. This option is exercised in the GSM system, which supports an optional frequency-hopping pattern of 217.6 hops/s on a frame-by-frame basis.
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The interfering signal arrives at the second array element with a phase lead of relative to the first element, since their spacing is X/2 and the angle of incidence is 30". Therefore, the array output dueto the interfering signal is yi(t) = w l N e j a x f t + w z N e j ( 2 n f t + n / 2 ) . For this to become zerowe require that:
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Use the correct command-line options. Many Windows applications use command-line options, also called switches, at startup to control how they run. Some applications have switches to fully automate them, others don t. Check the documentation (or search the Help and Support Center) for the options your program uses. Double-click the task and add the options to the end of the Run box. The task isn t running. You may have specified the task to run under another user s account. If that user logs on, then Fast User Switching is in effect, and the task is running under his name, not yours. The task didn t run when scheduled. Your computer may have been turned off, in hibernation mode, or low on battery power. Check the Event Log to see if the task is listed as a Missed Task, and try running it manually.
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