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In the case of fair throughput (FT) scheduling, the unexploited power in (5.10) is shared fairly in terms of throughput among the di erent bearer services every scheduling period. This is achieved by matching the bit rates and thus the estimated transmit powers of the bearer services to sum up to (5.10). Power estimates in the bit rate increase algorithm are based on (5.4) or (5.5) depending on bit rate scheduling direction. An example of bit rate allocation for up to ve capacity requests in a PS queue using the FR algorithm is illustrated in Figure 5.12. The chronological order of the capacity requests (CRs) is written in brackets and the priorities of the bearers in question represented by di erent tints. In the gure, the possible bit rates in the TFS are: 128, 144, 256 and 384 kb/s, where 128 kb/s and 384 kb/s are the dedicated channel (DCH) minimum and maximum allowed bit rate, respectively. When ve capacity requests are in the queue, only four of them are allocated 128 kb/s. 5.2.2.2 Fair resources scheduling

in tensile strength. Exposure at 30 C showed that polyamide is most stable and polyester least stable. At the higher temperature, polyester was more stable than polypropylene. The ability to control temperature along with irradiance is generally included in the basic design of most laboratory-accelerated weathering devices. The approximate temperature of dark-colored specimens is measured and regulated with the use of a black panel sensor of either the uninsulated or insulated type described in ASTM G151 [142]. It serves to control the air temperature that, in combination with the surface heat due to absorbed radiation, provides the black panel temperature speci ed in the test method. The heat caused by absorbed radiation depends on the visible and infrared absorption properties of the materials as well as on the spectral power distribution of the source and the irradiance level. Generally, the black panel temperature speci ed is the maximum temperature that dark samples attain under use conditions. Currently, the highest black panel temperature speci ed is 89 C during the light-only period in a xenon arc device used for tests on automotive interior materials such as seat covers, dashboards, and the like [143].

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XML les are hierarchical so they are a natural choice for storing hierarchical data. Though you can store hierarchical data in other types of databases, they are unlikely to be able to re-create the hierarchical object structure as quickly as XML tools can. (See the story in the Why Bother section at the beginning of this chapter.) XML les allow you to create elements within other elements just about anywhere you like, so they are semi-structured. This can be convenient if you re not sure of the data s exact format ahead of time. For example, you could easily add extra To, Cc, or Bcc elements to the previous letter example even if you didn t realize you would need them when you wrote the original letter. (Of course, the program that prints the letter may need some modi cations to use the new elds but at least you can store valid data.) Because XML les are plain old text les, they have some of the limitations of text les. In particular, you cannot add, delete, or modify data in the middle of an XML le. To update an XML le, a program typically reads the le into memory, makes its changes, and then writes the result back into the le.

Return Loss (dB)

ENUM fields serve two purposes. First, by limiting the range of values allowed in the field, you re effectively validating any data that is inserted into the field. If a value doesn t match one of the values in the predefined set, MySQL rejects the attempt to insert the value. Second, ENUM fields can save storage space. Each possible string value crime , horror , and so on is associated with an integer, and stored once in a separate part of the table. Each ENUM field can then be stored as an integer, rather than as a string of characters.

You can also specify an optional second argument: a string of characters to treat as white space. The function then trims any of these characters from the string, instead of using the default white space characters which, incidentally, are (space), \t (tab), \n (newline), \r (carriage return), \0 (a null byte), and \v (vertical tab). You can also use .. to specify ranges of characters (for example, 1..5 or a..z ). Here s an example that strips line numbers, colons, and spaces from the start of each line of verse:

By adding to imghdr s tests list of functions, you can have it check for additional file types. The module is just testing for known file types; it is not doing anything specific to images. The following example looks for the special prefix at the beginning of all bytecode-compiled Python (.pyc) files:

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