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IEEE 802.15.5 is a recommended practice that provides an architectural framework to allow low rate wireless personal area network (WPAN) devices to form interoperable, stable, and scaleable wireless mesh topologies. Mesh network topologies allow nodes with IEEE 805.15.4 (both 2003 [1] and 2006 [2] versions) compatible medium access control/physical (MAC/PHY) layers to extend the network coverage without increasing the transmit power or the receiver sensitivity. Another key advantage of the mesh network is the enhanced reliability via route redundancy. Because of the differences in the corresponding MACs and PHYs of IEEE 802.15.3 and 805.15.4, different approaches were used to support the mesh capabilities in high data rate (802.15.3-based) and low data rate (802.15.4based) WPAN networks. In this chapter, we only discuss the low data rate portion of the WPAN mesh. In addition, due to the limit of the space, among all the supported features of LR-WPAN mesh standard, the addressing scheme, unicast and multicast routing algorithms will be introduced. The power saving mechanism, portability support and trace route functions will be skipped. Please note when this chapter is being written, the standard is not in its nal form. Readers are suggested to refer to the published standard, expected to be released in 2009, for the latest developments and speci cations. 17.1.1 Application of WPAN Mesh The applications of low rate WPAN mesh networks are innumerous, mainly in the area of wireless sensor networks. Typical applications include home and



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where qi (yi ) are the pdfs of the signals yi . The above cost function can be approximated as 1 R({Wp }) = N

(xi x)2





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The first line of code assigns the variable c to the app.popUpMenu method. Three categories are in lines 2 to 4. The category name is the first item in quote marks on each line. Following the category names are the filenames that open when the menu item is selected. Line 5 instructs Acrobat to open the selected file. To create your own pop-up menus, change the category names to menu titles you want to use. Following each category, type the name of the respective document to open. Be certain to begin line 2 with an open parenthesis (and use a closed parenthesis) after the last line of code used to identify the category and filenames (line 4). Each line of code where the categories and filenames appear is contained within brackets. The code used above works in Acrobat 8, as well as earlier viewers. Updates to the JavaScript implementation in Adobe Acrobat support more refinement for coding application pop-up menus. These newer code listings can be found in the Acrobat JavaScripting Reference Manual for version 8 of Acrobat. An example of a script using an application pop-up menu that opens your default Web browser and takes you to Adobe s Web site where Web pages open for Acrobat and Adobe Reader is coded as follows:

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we also assume no ties on the predictors, we can form a contingency table de ned by the two values of dihy (i.e., 1, +1) and the 2p possible predictor dominance patterns. The cell frequencies are the tallies of the co-occurrence of a value of dihy and one of the 2p patterns. If Y is unrelated to the predictors, then half the number of a given predictor dominance pattern should be associated with dihy = +1 and the other half associated with dihy = 1. To test this hypothesis, we can compute 2 [n(n 1)] 1 as a test statistic, which can be evaluated against 2 ( p). A similar test can be computed allowing for ties. Long (2001) is currently investigating the performance of the omnibus methods. Preliminary investigation indicates that using pF( p, n p 1) to evaluate H yields good actual Type I error rate and power, but more investigation is needed before de nitive statements can be made.

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14.2 KOLMOGOROV COMPLEXITY: DEFINITIONS AND EXAMPLES Let x be a nite-length binary string and let U be a universal computer. Let l(x) denote the length of the string x. Let U(p) denote the output of the computer U when presented with a program p. We de ne the Kolmogorov (or algorithmic) complexity of a string x as the minimal description length of x. De nition The Kolmogorov complexity KU (x) of a string x with respect to a universal computer U is de ned as KU (x) =

As can be observed, ]2(3,3)] = 10. Applying the definition of G(M, K), we calculate G(3,3) = The probability c

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