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Child controls are created by calling CreateWindow or CreateWindowEx, just as top-level application windows are created. The window class name to use for a given control type is given in Table 3.1. Child controls communicate with their parent window by sending WM_COMMAND messages. These messages include the control identifier associated with the control, and a notification code that indicates what sort of action the user performed with the control. All of this information is sent to the parent window in the WM_COMMAND message parameters, as shown in Table 3.2. PARAMETER HIWORD(wParam) LOWORD(wParam) (HWND)lParam Table 3.2 The WM_COMMAND Message MEANING Notification code. If the message is from a menu item, this value is 0. Specifies the command identifier of the control (or menu item) sending the WM_COMMAND message. The HWND of the control sending the message. If the WM_COMMAND message is not sent by a control, this value is NULL. For example, this is the case if the message is sent by a menu item.

If a file is already in text format, and you inadvertently ask plutil to convert it to text, nothing happens (which is good). The plutil command just humors you and runs without a problem, and the file stays in text format, just as you want it. If you want to look at a whole bunch of preferences files, you don t have to bother converting them one at a time. With a magical single line typed into Terminal, you can change all your preferences files (and other property lists) to text format. Here s the command:

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These expressions are similar to those given for the FEC system, and are obtained by replacing t by l. Retransmissions happen with a certain probability. Retransmission is not required when the receiver has received a valid codeword, an event with probability P(0, n), or when the number of errors in the received vector produces an undetectable error pattern, an event with probability Pwe . Therefore, the retransmission probability Pret is given by [3] Pret = 1 (P(0, n) + Pwe ) Since usually Pwe P(0, n), Pret 1 P(0, n) = 1 (1 p)n np = = (63) (62)

must be changed or regenerated. The total energy demand is lower as well (Fig. 11.9). The dried air is recirculated into the drying room (Imre 1974). Temperature and relative humidity of this air is adjusted to the drying program. This program determines the rate of air circulation, too. The circulation is either

If these two conditions hold, the MGW will accept SP1 as the rst spending proof of the MU, and the LUAPs stored at the sMAP and nMAPs can be updated to IDMU ; B t; SPi ; PMK . In this way, the MU could reveal SP2 H m 2 M ; . . . ; SPi H m i M ; . . . ; SPm H 0 M M one after another to prove the spending for m times. In case the hash chain runs out or the MU cannot submit a valid chain token on time, the MGW can detect it and terminate the ongoing communication session immediately.

These calculations are simpli ed by using the normalized Gaussian probability density function, also known as the function Q(k) (Figure A.7): 1 Q(k) = 2 obtained by putting = y m (21)

1.2 TYPES OF HANDOFFS Handoffs are broadly classified into two categories hard and soft handoffs. Usually, the hard handoff can be further divided into two different types intra- and intercell handoffs. The soft handoff can also be divided into two different types multiway soft handoffs and softer handoffs. In this chapter, we focus primarily on the hard handoff.

3.6 FIXED-CHANNEL ASSIGNMENT PROBLEM A lot of existing systems are operating with fixed-channel assignment, in which channels are permanently assigned to cells for exclusive use. Cells that have the same reuse distance can use the same channels. This uniform channel distribution is efficient if the traffic distribution of the system is also uniform. However, for nonuniform traffic environments, a uniform channel distribution results in poor channel utilization. Cells in which traffic load is high may not have enough channels to serve calls, whereas spare channels may exist in some other cells with low traffic conditions. It is, therefore, appropriate to use nonuniform channel distribution. In this case, the number of nominal channels assigned to each cell depends on the expected traffic profile in that cell. Hence, heavily loaded cells are assigned more channels than lightly loaded ones.

where is chosen to satisfy P (a)a 2 = . Thus, the conditional distribution on X1 given a constraint on the sum of the squares is a (normalized) product of the original probability mass function and the maximum entropy probability mass function (which in this case is Gaussian). Proof of Theorem: De ne the sets St = {P P : D(P ||Q) t}. (11.151)

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