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SNR, just as speech is intelligible in low SNR. This feature extends the range and robustness of analog AM voice. FM voice, also a popular military mode, provides greater clarity of voice communications at channel SNR greater than 9 dB. Below this SNR, the FM discriminator will not lock to the carrier, yielding only noise. Thus, AM voice is intelligible at total power levels well below those that render FM unintelligible. Consequently, AM voice is ideal for emergency reporting radio channels. Analog voice does not fully leverage modern signal processing technology. Recent research suggests extending analog modes via wavelet-based DSP [176]. Using That Knowledge: The AACR should know about AM and FM and should be able to explain to a nonexpert user why general aviation persists in using AM analog voice when so many other more modern channel coding methods are available. An iCR should know about wavelet signal processing and should be able to synthesize a wavelet-based air interface. 7.5.4.3 Channel Packing Knowledge Chunk Improvements in components have reduced channel bandwidths from 100 kHz or more in the early days of radio to typically 25 30 kHz today, with 81/3 and 61/4 kHz modes recommended by APCO. Congestion of air traf c control radio bands in Europe constrains AM/FM to 81/3 kHz. This packs three SCPC subscribers into the 25 kHz formerly occupied by one. Using That Knowledge: The AACR should know why analog voice was designed with 25 or 30 kHz channel spacing. An aircraft-aware AACR should know the new rules for denser spectrum packing. AACR should be able to set parameterized waveforms to achieve the denser spacing. It should cooperate with its peers to check air interfaces for spectrum mask conformance.

on the maximum differential backlog algorithms, and the details are described below:

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Implementing the Use Case: Writing a user s manual is hard work. Even with good authoring tools, the organization of the material and the decisions of what to include can be challenging. Error code listings and diagnostics were standard for computer systems of the 1970s and 1980s, dwindling in the 1990s as complexity increased and the bene t of explaining all that to the user decreased. Just reboot. Take two aspirin and call me in the morning. Could an AACR read its own RXML to the user That would be the strategy with CHERISH. Instead of writing manuals, why not just write a rule interpreter for RXML After all, the KOs both contain and express the strategies, tactics, and data structures on which CHERISH is based. Although such an approach may be out of reach at present, technology for systems that know what they are doing is emerging. 9.3.4 Wearable Awareness

I knew where this was going But I did not interrupt him He continued: I ve already told you this But it s like I see some of myself in you That you have this temptation now to go over the top To do more of the same That you can do no wrong You can get into so much trouble so quickly like that I nodded He was telling me what I needed to hear Last night I d been tempted to plan another full trade But I hadn t I d stopped when I realized that I lacked the confidence to plan another trade Rather than do that, I simply started the next idea with a number at which the Euro was likely to stop (at least in my opinion).

1. For all links (a, b), nd commodity cab (t) such that cab (t) = arg (c) max {Ua (t) Ub (t)} (c)

A person might not mind wearing a cell phone, but the family dog might. So would the newborn. Yet wearable awareness calls for the integration of the W2 into the wardrobe. RF identi cation tag for the dog; a nice belt for the young boy; and a true fashion statement for super-Mom (Yes, that s a Gucci design). Soon, every cell phone will have long battery life, great graphics, and discrete voice effects. But discriminating customers will cherish their CHERISH fashion statements. Wearable systems must learn to be discrete, a technologically daunting task. In addition to the mores of segments of society implied by gender, age, religion, and other types of orientation, quirky individual preferences must be learned. There may be an Italian UKO (I m an Italian so I m allowed to make politically incorrect remarks about my passions). The default religion might be Roman Catholic. The AACR could observe its Italian wearer going to the cathedral for Mass. St. Mark s might take Wireless Credit Corp. s PKI login, while St. Luke s might not accept wireless donations (yet). One parishioner might think it in poor taste for the W2 to process prayers, while another might want to be reminded of who to pray for, welcoming the W2 into the inner circle. Implementing the Use Case: The iCR sales force may need a recommender system [220] that analyzes the purchaser pro le to download stereotypical UKOs with tailored UDH to learn details, nuances, exceptions, and rules from Charlie. Lenny s UKOs should relate to Charlie s preferences (Expression 9-1). Expression 9-1 User Privacy Stereotype <UKO/><Name> US-stereotype Married Male Middle-aged </Name> <Slots> <Private-scenes> Bathroom Church </Private-scenes> </Slots> . . . </UKO>

c {1,... ,N}

Wab (t) = max[Ua ab (c (t))

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