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width conditions may also be required to keep the response time acceptable for users. Determining the best content for a certain terminal and bandwidth is also not straightforward. Unavoidably, best represents a certain tradeoff of presentation quality for used resources, and different users will prefer different tradeoffs. Some people might appreciate timely delivery more than ashy content, and vice versa. Some people might be willing to put up with large amounts of scrolling in order to get a lot of content at once, whereas others would prefer to get only what comfortably ts on one screen. Some people might prefer cheap and utilitarian content, whereas others would want ashy content that shows off the capabilities of their terminal even at a higher cost. Clearly the user cannot be factored out of the equation. Thus, any system that wishes to provide an optimal service for all users, has to take into account not only the properties of the terminal itself, but also the capabilities of the network and the preferences of the user. It is not an easy task, nor have all the related problems been adequately solved yet, but there are many useful techniques for handling the problems. In the following sections, we will examine the problem area more closely, and present some alternative ways of performing content adaptation. We will rst present the different multimedia content types. Then we enumerate the different types of adaptation that can be performed on content. Subsequently, we present the methods of adaptation and the capabilities and metadata they use and the different adaptation architectures. Different applications scenarios are then presented to show how all the concepts work together in practical cases. We conclude by presenting relevant standardization efforts related to content adaptation.

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6In this text, unless otherwise speci ed, logarithms are to the base ten. These are called common logarithms. Under certain circumstances we will also use logarithms to the base 2 (binary system of notation). In the calculus, nearly all logarithms used are to the natural or Naperian base. This is named in honor of a Scottsman named Napier. However, Napier did not use the base e but used a base approximately equal to e 1 .

Two more view options let you control how much information you see about files in icon view. Use the Show Item Info option to learn more about every item at a glance. For example, when

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Lysozyme is a naturally occurring (human saliva, egg white), 14.6 kDa, single-peptide protein that has antimicrobial activity due to its enzymatic ability to hydrolyze (1 4) glycosidic linkages in bacterial cell walls (Proctor and Cunningham 1988). It is more active against Gram-positive bacteria, and activity against Gram-negatives can be increased by use of membrane disrupting agents (detergents and chelators), such as EDTA (Padgett et al. 1998). Because of this narrow activity range, most studies use lysozyme in combination with other antimicrobials. Gill and Holley (2000) showed that combined lysozyme, nisin, and EDTA treatment of ham and bologna sausages reduced populations of B. thermosphacta to nondetectable levels for up to 4 weeks, while during storage at 8 C, growth of Lactobacillus curvatus, Leuconostoc mesenteroides, and Listeria monocytogenes was slowed for up to 3, 2, and 2 weeks, respectively. Cannarsi et al. (2008) showed that the combination of 0.5% lysozyme and 2% EDTA extended the shelf life of chilled buffalo meat, with an antimicrobial affect on all micro ora present, including B. thermosphacta. Nattress and Baker (2003) combined nisin and lysozyme as an antimicrobial treatment on pork loins, with successful inhibition of lactic acid bacteria and preferential growth of Enterobacteriacea. However, the authors

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that both devices should obtain the same shared secret Z=MACTag at this time. 3. In order to derive the link key, each device generates two cryptographic hashes of the shared secret and hexadecimal numbers, that is, Hash1 H Zjj0116 Hash2 H Zjj0216 . The Hash2 will be the link key among two devices, while Hash1 will be used to con rm that both parties have reached the same link key.

would need an 11-bit code. Such a code sampled 8000 times per second leads to 88,000-bps equivalent voice channel and an 88-kHz bandwidth, assuming 1 bit per Hz. Designers felt this was too great a bit rate/ bandwidth. They turned to an old analog technique of companding. Companding derives from two words: compression and expansion. Compression takes place on the transmit side of the circuit; expansion on the receive side. Compression reduces the dynamic range with little loss of delity, and expansion returns the signal to its normal condition. This is done by favoring low-level speech over higher-level speech. In other words, more code segments are assigned to speech bursts at low levels than at the higher levels, progressively more as the level reduces. This is shown graphically in Figure 6.4, where eight coded sequences are assigned to each level grouping. The smallest range rises only 0.0666 V from the origin (assigned to 0-V level). The largest extends over 0.5 V, and it is assigned only eight coded sequences.

AppController.m contains the implementation for AppController and the logic for Badger s features. I discuss each of AppController s methods, what they do, and how they work. The first bits of AppController.m are the usual start for an implementation file.

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