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The time delay settings are determined in order to obtain the selectivity intervals t = 0.3 s for the maximum current detected by the downstream protection. For example, for the maximum short circuit at D, the time delay at C must be longer than the time delay at D by a value t .

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For example: Call-ID: a84b4c76e66710@ pc33:atlanta.com The @host portion is optional. Max-Forwards. This header is a counter that typically starts at 70 and is decremented by one at each hop. If it reaches 0 the request is rejected. It avoids wasting resources when a request message ends in a routing loop. Max-Forwards : hop-number For example: Max-Forwards: 6 Via. This header indicates the path followed by the request through the network. The original client inserts the rst Via header, then each proxy server adds its own (except in the case of redirection), so multiple Via headers may be present in the same message. This information indicates to recipients the path that responses must follow: Via:protocol=version=transport host:port; Via-parameter comment For example: Via: SIP=2:0=UDP erlang.bell-telephone.com:5060;branch =z9hG4bK87asdks7 Via: SIP=2:0=UDP192:0:2:1: 5060 ;received =192:0:2:207;branch =z9hG4bK77asjd Parameters. Two important parameters used in SIP headers are SIP URI and tag. They are discussed below. The examples are from RFC 3261 [8]. SIP URI. This parameter is similar to Internet URIs (Section 20.2.5) [13] and identi es source, destination, or redirection addresses in SIP messages. Its typical form is sip :user@host The complete form (with all the optional elds) is sip:user:password@host:port;URI-parameters headers User. This parameter can be a telephone number, in which case it uses the format for the tel URL speci ed in RFC 2806 [14], characterized by a in front of the number. An additional type of URI, called SIPS URI, is used to indicate that the owner of an address wants to be contacted on secure channels. SIPS URIs have the same

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The advancement or optimization of the human race cannot be totally attributed to genetics and evolution. Human interactions, societal behaviors, and other factors play major roles in the optimization process as well. Since social interactions allow for faster adaptation and improvement than genetics and evolution, an optimization algorithm should include those societal factors that would help speed convergence. These algorithms are known as cultural algorithms (Reynolds, 1994). As with a GA, these algorithms begin with a random population called a civilization. The civilization has societies that consist of clusters of points or individuals. Each society has a leader. Individuals within a society only interact with others in the same society. This behavior is analogous to a local search. Society leaders, however, interact not only with other individuals in the same society but with leaders from other societies as well. A leader may leave its current society to join a society that performing at a higher level. This leader migration allows high-performing societies to ourish while diminishing low-performing societies. This behavior is analogous to global search. The hope is that these algorithms will produce excellent results faster than a GA. They are reminiscent of the parallel island GAs. The interested reader can nd pseudocode for this type of algorithm in the literature (Ray and Liew, 2003).

Figure 9.5 Various configurations and types of signal and power line filters. (Photographs courtesy of Corcom.)

The of cial standards documents for the 802.11 standard can be found online at www. 802 wirelessworld.com Excellent summaries of the older 802.11 versions (802.11, 11b, 11a/g) and the recent 802.11n standard are given in O Hara and Petrick [2005], and Perahia and Stacey [2008], respectively. A historically interesting comparison of IEEE 802 and HIPERLAN is found in Doufexi et al. [2002]. The principles of the WiMedia MBOA (Multi Band OFDM Alliance) speci cations are described in Siriwongpairat and Liu [2007]. A comparison between WLAN and Wireless Personal Area Network (WPAN) standards is given in Cooklev [2004]. For updates and errata for this chapter, see wides.usc.edu/teaching/textbook

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