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P2P SIP is a recent development that follows the general P2P trend on the Internet. The end-to-end nature of the Internet (the dumb network) has led to an amazing growth of various peer-to-peer applications and to the predominance of P2P traffic on the Internet, estimated in 2004 and 2005 to be between 60 percent and more than 80 percent of all Internet traffic. In private networks, commercial P2P IP PBX functions have been implemented that allow advanced enterprise desktop phones to work without any central IP PBX server. See, for example, the references [5] and [6]. Small SIP P2P networks (such as for communities of interest) may not require any servers or other service infrastructure in the network. Very large P2P SIP networks may use a hierarchical structure for the self-organizing P2P cloud where the supernodes are the equivalent of SIP servers. Since P2P VoIP networks do not require any VoIP infrastructure, the everincreasing costs to buy and to operate complex VoIP networks are eliminated. There are also other general benefits to P2P that will be discussed in 20. P2P is, thus, a considerable disruption of the VoIP industry.

This formula uses the MOD function to calculate the remainder when the row number (returned by the ROW function) is divided by the value in A1. As a result, every nth cell (the value in cell A1 determines n) contains 0. Then use the Data Filter AutoFilter command to turn on AutoFiltering. Set up the AutoFilter to display only the rows that contain a 0 in column B. Note that if you change the value in cell A1, you need to respecify the AutoFilter criteria for column B (the rows will not hide automatically). The preceding formula uses the row number to determine which cells are visible. If you would prefer that the chart always includes the first data point, use the following formula, which refers to the cell (A4) that contains the first data point:

In the preceding syntax and the example, only the LANGUAGE attribute is included in the processing directive. However, there are several other attributes of a processing directive. Table 12.1 lists all the attributes of the processing directive: Table 12.1: Attributes of Processing Directive Attributes Description 290

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where 1 is called a regularizing parameters and ( ) is a nonnegative functional, called a stabilizing functional, roughness penalty, or smoother, that satis es certain

cnt = getTreeHeight(get_root(), num); // Add key in the new node s data eld new_ptr->nodeKey = key; // If the BST is empty, insert the new rate in root if (root_ptr == NULL) { for (i = 0; i <= N; i++) { new_ptr->bondPrice[i] = 1/(pow(initRate,i)); new_ptr->forwardRate[i] = initRate; } root_ptr = new_ptr; } else { TREE_PTR tree_ptr = root_ptr; while (tree_ptr != NULL) { node_ptr = tree_ptr; if (key == tree_ptr->nodeKey) return; else if (key < tree_ptr->nodeKey) // search its up side for insertion location tree_ptr = tree_ptr->up_childptr; else // search its down side for insertion location tree_ptr = tree_ptr->down_childptr; } // Now node_ptr is the pointer to the parent of the new // node. Now determine where it will be inserted compute volatilites // sum is used for computing both bond prices and forward rates sum = 0.0; for (int k = cnt; k <= N; k++) { sum = sum + vol*exp(-lambda*(k*dt)); } // used for coshRatio for forward rate computation sum1 = 0.0; for (k = cnt; k < N; k++) { sum1 = sum1 + vol*exp(-lambda*(k*dt)); } volsum = sum*sqrt(dt)*dt; volsum1 = sum1*sqrt(dt)*dt; coshRatio = cosh(volsum)/cosh(volsum1); coshval = 1/cosh(volsum); expvalPlus = exp(volsum); expvalMinus = exp(-volsum); expvalPlus1 = exp(vol*exp(-lambda*cnt*dt)*sqrt(dt)*dt);

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Rural areas: biodigester installation, 210 biogas formation, 206 energy storage, 296 induction generators, 259 power lines, 20 Russia, alternative energy technologies, 1, 5, 279 Safe work area clearance, 366 Safety equipment, electrical, 20 SAFT, 279 Salt, generally: caverns, compressed air storage and, 293 294 thermosolar power plants, 124 water, heat storage, 295 Satellites: global positioning systems (GPSs), 61 propulsion of, 169 Savonius turbines, 99 101 Sayano-Shushensk power plant (Russia), 1 Scale factor, 90 Schatz Energy Research Center and Energy Partners, 160 Scherbius variable-speed driver, see Doubly fed induction generator (DFIG) Schockley s equation, 135 137, 141, 143 144 Sealed lead-acid (SLA) batteries, 269, 271 272 Sea levels, global warming and, 24 Sea tidal energy, 112, 181 Sea wave energy, 181 Security, distributed generation and, 337 Security systems, 156 SEIG, see Self-excited induction generators (SEIGs), 241 Self-discharge, energy storage system, 265 267 Self-excited induction generators (SEIGs): magnetizing curves, 242 243 mathematical description of process, 243 246 overview of, 240 242 Self-renewing resources, 2 Semiconductors, solar energy conversion, 131

come in two different forms: primitive or complex. Primitive or simple element types are defined by the XML Schema specification. Table 8.3 lists most of the data types supported by the XML Schema specification. Simple data types cannot contain other elements or any other attributes. The schema element, using simple data types, is defined using the following syntax:

(14.14)