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Thus, the packet assigned label is, in effect, that corresponding to the FEC chosen for the incoming packet As a final point, the FEC can also be understood as a specification indicating which packets are to be mapped to a specific LSP..

(i j + n k)(j + k)

and make the file executable:

TABLE AP5.1-1 Point-to-point, point-to-multipoint and mesh digital networks Comparison between various multiple access methods

n To move a command from one menu to another, drag it from the old menu to the new (which opens) and then drop it in the desired position. n To move a command to a new position on the same menu, drag it to the new position. n To place a new command on the menu, drag it from the Commands list in the Customize dialog box to the desired position on the menu. n To remove a command from the menu, drag it off the menu and drop it somewhere else away from the menus.

Figure 7.80 below illustrates the current capabilities of TV transmission satellite systems spanning from contribution links, i.e. distribution to local broadcast transmitters, up to direct broadcast to home TV sets (DTH).

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You can load any module that has been compiled and installed (to the /lib/modules directory) into your running kernel using the modprobe command. A common reason for loading a module is to use a feature temporarily (such as loading a module to support a special file system on a floppy you want to access). Another reason is to identify a module that will be used by a particular piece of hardware that could not be autodetected. Here is an example of the modprobe command being used to load the parport module, which provides the core functions to share parallel ports with multiple devices:

Conceptually, external occlusions are not to be confused with mutual occlusions (between tracked objects) or self-occlusions of a nonconvex object, such as those shown in Section 3.2. However, the same computational tools can be used as well to deal with external occlusions.

JAX-RPC-Supported Java Primitives and Mapping XML Data Types XML SCHEMA DEFINITION xsd:int xsd:long xsd:float xsd:double xsd:short xsd:boolean xsd:byte

As shown in Listing 7-11, the code for this example is also very similar to the code we used for the IterationTag example. The differences in this example are that the doStartTag method now returns EVAL_BODY_BUFFERED, that a new method, doInitBody, is introduced, and that changes are made to the doAfterBody method. The doAfterBody method is where we work with the buffered tag-body contents provided to us.

You can delete menus in much the same way as you delete menu options. However, you normally delete submenus of special folders rather than the special folders themselves. Also, when you create a menu for all users, you must delete the menu via the related special folder. For example, if you create a submenu of AllUsersStartMenu, you must delete the submenu via the AllUsersStartMenu special folder. The first step in deleting a menu is to obtain a reference to the appropriate special folder, for example:

of overlap between some of these variables, since some of the squared correlation coef cient values are close to 1. Four pairs of variables with high squared correlation coef cients are also displayed in Fig. 5.6, to illustrate the relationships between these variables. The prioritized variables from Table 5.5 are further reduced based on the relationships between them. Where two variables have a high square correlation coef cient score, the lower ranking variable is removed. The resulting table is shown in Table 5.6. Using the top eight variables from Table 5.6, a series of logistic regression models were built using these variables as independent variables. The response variable is the binary variable type melanoma, and a 5% cross-validation was performed. All combinations of these eight variables were used as inputs to the models, generating 255 different models. These models were then ranked on their level of accuracy. A fraction of the 255 models can be seen in Table 5.7. The simplest model with the highest cross-validated predictive accuracy was selected. This model contains two independent variables: mir-146-prec and mir-211-precNo1. The full logistic regression model can be seen in Fig. 5.7.

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