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with(linalg): # include linear algebra package m(s) := 2*lambda0*lambda1/((2*lambda0-s)*(lambda1-s)); k(s) := ln(m(s)); # define CGF, ln=natural log k1(s) := diff(k(s),s); # take the first derivative k1(s) := simplify(k1(s)); # simplify (not necessary) lambda0 := 1/15; lambda1 := 1/3; sp(s) := k1(s)-t; # define the saddlepoint equation # Solve saddlepoint equation and put roots into # a 2 x 1 vector called sproot sproot := matrix(2,1,[solve(sp(s)=0,s)]); latex(sproot[1,1],kidroot1); latex(sproot[2,1],kidroot2);

each other and to the BSCs [13]. Once the sites for the BTSs are selected and the sector layout is decided, the number of TRXs to be installed per sector has to be xed. This number depends on the traf c demand that the corresponding sector has to support. The result from this process is a quantity of TRXs per cell. A channel has to be allocated to every TRX and this is the main goal of the automatic frequency planning [5]. Essentially, three kinds of allocation exist: xed channel allocation (FCA), dynamic channel allocation (DCA), and hybrid channel allocation. In FCA, the channels are permanently allocated to each TRX, while in DCA the channels are allocated dynamically upon request. Hybrid channel allocation (HCA) schemes combine FCA and DCA. Neither DCA nor HCA are supported in GSM, so we only consider here FCA. We now explain the most important parameters to be taken into account in GSM frequency planning. Let us consider the example network shown in Figure 9.2, in which each site has three installed sectors (e.g., site A operates A1, A2, and A3). The rst issue that we want to remark is the implicit topology that results from the previous steps in the network design. In this topology, each sector has an associated list of neighbors containing the possible handover candidates for the mobile residing

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When researching any property s title information, always make certain that you check the official public records in the county where the property s deed is recorded to verif y that all recorded liens placed against the property s title have been uncovered. The functions of county government offices vary from state-tostate, so contact your county government to find out which offices maintain records on real property and judgment liens. The following is a listing of where to look when searching the public records for liens that are attached to the titles of real property:

Customer data is stored centrally (data) Call center employees have achieved a high level of in-depth training (organization) Employees are supported by a customer-contact knowledge system (application) Customer service process is supported by a workflow management system (application)

You use the plugin action to generate HTML tags for embedding Java applets in the generated output page to ensure that the browser contains an appropriate Java runtime, and that it executes the applet properly. All but 4 of the 13 attributes of the plugin action have the same meaning as the HTML counterparts. The parameters that have different meaning are:

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In general, the threshold is found to be the value that best separates the positive and negative sets. When a feature f is selected as a good distinguisher of images between positive and negative sets, its value would be similar for images in the positive set and different for all other images. When this feature is applied to an individual image, a number f (x) is generated. It is expected that values f (x) for positive and negative images can be separated by a threshold value of . It is worthy to note that a single WC needs only to produce results that are slightly better than chance to be useful. A combination of WCs is assembled to produce a strong classi er as seen in the following text. 11.3.3 Strong Classi ers

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