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plane. Distance between user and information may be measured in time to access the information, one of the QoI parameters de ned above. Reducing information (content) access time often enhances QoI. QoI may be low because of a region near a building where the cell towers are shadowed. One approach to improving the information landscape (an adaptation of Goodman s ideas) might be the bridging of faults in the access geography. The iCR empowered to assist nearby cell phones in need could relay information to shadowed users, making the landscape atten. If the price to be paid by the user doing the assistance is workable, then all bene t by helping each other. In such an interaction, the signal propagation of the environment plane, the power available in the terminal, and the limitations of the networking plane all play a part. 8.8.1 Shannon Information

5. Effects of Spatial Contention at Different Layers: Skim through the survey and brie y discuss the effects of spatial contention on the following layers in the protocol stack: r r r r Application layer (e.g., FTP) Transport layer (e.g., TCP) Network layer (e.g., Routing protocol) Link layer (e.g., wireless transceiver/MAC mechanism)

One challenge in discovering the connected information landscape may be to transition from a focus on data transfer to a focus on information transfer. Shannon considered strings of symbols from alphabets. If there were S different strings, then each of those S possibilities could be represented in log(S) bits, with base 2 logarithms. If a source produces these strings, distributed with probability P(si), then observing symbol si supplies information I(si) that is the number of bits required to express the inverse of that probability: I(si) = log(1/P(si)) (8-9)

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Suppose you were to design a new solution for this problem; choose a level of implementation and then justify your choice.

I didn t quite know how to start doing that, but I was determined to try If I didn t get it right, then I wouldn t see him again The moves on the daily chart were much bigger just like Winnipeg George said so I would have to plan for wider stop losses and could gain greater profits from those moves as well That must have been why Harvey was so intent on having me concentrate on the long-term stuff Greater potential for more reward, for the same effort Sounded good to me The fourhour and the daily and the EUR/USD would do just fine for now Then I asked myself a series of questions, inspired by Roddy: How far might the Euro fall downward Where was it likely to stall Could I find an area, just like 1.

Shannon then went on to publish his noisy-channel coding theorem and many other distinguished works [209]. The noisy channel can transfer information without error if the speed is consistent with the channel capacity. Communications systems engineers know all the rest, but rarely employ Equation (8-9) to enhance information as content, not just as data. The noisy channel conveys information, not just data. An image to be transferred from one cell phone to another contains information. A JPEG-coded image can t be meaningfully decoded until the entire image is present. The image as a block of coded data has no explicit information content since it has been encapsulated into opaque bits. When decoded into a display, it becomes meaningful information to the user. The same wavelet-coded information conveys the underlying shape of the image in the early block transfers, and this may be decoded incrementally, shape rst; and details may be lled in subsequently. Some forms of communication thus exhibit the strong statistical structure (information) of the content of a message payload while others do not. One generalization of <Information-landscape/> is to make the statistical structure of information content explicit in sharable SKOs. The strong statistical structure of information expresses itself not just as the probability density of bit patterns, but also as the discoverable nonuniformities that shape the human and iCR experience of information. The

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