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1063 Space transportation system (STS): See Space shuttle. Spacecraft control centre (SCC): 6.8.1.2. SPADE: 5.5.4.2. Spain satellite system: AN3.3.9. Speech interpolation: see Digital speech interpolation. Spin stabilization (satellite): 6.2.2, 6.2.4.2, 6.3.2.2. Spot beam: see antenna beam. Spread spectrum multiple access (SSMA): 1.4.4.2, 5.4. Spreading factor: 5.4.4. Star network*: 5.5.7, 5.6.2, AP5.1-2, 8.2.2.4, AN2.2.1. Station keeping (satellite): 6.2.4.3, 6.6.1. Step-track (or Step-tracking): see Tracking system. Structure (satellite): 6.2.2, 6.3.2.2. Sub-burst: 5.3.1. Sub-carrier (Television): 7.5.5.2. Sub-reflector: see Cassegrain. Sun: 6.1.3.2, 6.2.3, 6.2.4.3, 6.2.5, 6.6.3, 7.2.1.2. SuperBird satellite (Japan): AN3.3.7.2. Switching matrix (SS-TDMA): 6.3.3.4, 6.3.4, 6.3.4.5. Syllabic companding: 3.2.1.1. Symbol (rate, etc.): 4.2, 5.3.3. Symbol rate: 3.3.5.1, AP3.2. Synchronization*: 4.2.4.2, 5.3.2. Synchronous code division multiple access (S-CDMA): 5.4.5. Synchronous data link control (SDLC): 8.3.2, 8.4.1, see also: Packet switching. Synchronous digital hierarchy (SDH)*: 1.4.5.4, 3.5.3, AP3.5. Synchronous transport module (STM): 3.5.3, AP3.5. Synthesizer (frequency synthesizer): 7.5.4, 7.6.4.4. Systematic feedback encoder: 4.2.3.2.

The hello script has been listed with line numbers for reference. As we examine it, we will not mention all the lines. Actually, if you are using these scripts as example, leave the line numbers off. Line 1, although it has a tic-tac-toe symbol, is actually a shell declaration (the ! ensures that). Putting a declaration in such as this

use services (out of the scope of this case study) to enter their product information in the ACME database.

If f(Z) is a real-valued function, its expected value with respect to the probability measure E [ f (Z)] =

WebShoppeTable = database.cursor("SELECT * FROM Customers", true); while(WebShoppeTable.Last_Name != "Hall") { WebShoppeTable.next(); } WebShoppeTable.deleteRow("Customers"); WebShoppeTable.close();

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Electronic controls may exert their action by the load, so changes in the load may be used to control speed, frequency, and voltage, as illustrated in Figure 1011 The load represented by R should be seen as regenerative, because the energy may be transferred from the generator to the public network or to a secondary load This secondary load can be a battery charger, back pumping of water, irrigation, hydrogen production, heating, or uid tank freezing Degenerative dissipation can also be achieved by burning out the excess energy in bare resistors to the wind or in a ow of water Notice that electronic control by load, compromise is less important with ef ciency than with the power generated That is essentially the case with wind and run-of-river turbines, where the energy available in nature has no means of storage.

The result is shown in Figure 6.8. The versatility and power of the WebMacro environment is truly impressive, but a more thorough discussion is outside the scope of this book. Considering the simplicity and power of WebMacro, coupled with the widespread following it enjoys, the application framework can be considered a desirable development environment on those merits alone. WebMacro also seems to be considerably easier to learn, set up, and use than Tea.

In these cases, if the energy is not used the instant it is available in nature, it will be wasted A more detailed representation of electronic control by load is shown in Figure 1011, where the primary source may be a turbine, a waterwheel, an ICE, a gas turbine, a diesel set, or another primary source The electrical load of the rotating generator may be a dc load if the output is recti ed, a power converter, or, in per phase terms, represented by R, RL, RLE, and RLI loads The literature discusses many approaches to varying the load through electronic control by load, from the simple step-by-step (discrete modulation) method to a continuous variation of load.

For essentially additive loads such as resistors, it is possible to optimize their rated values to obtain a smoother variation of load with a minimum number of resistors by using the 2n rule, depicted in Figure 1012a for current control by discrete modulation of load For additive/subtractive loads such as power transformers, optimization may be obtained even with a fewer elements by using the 3n rule, depicted in Figure 1012b for a series connection of secondary windings Similar 2n and 3n rules can also be used in association with capacitors and inductors When necessary, these approaches use electronic circuits with commutation under load More sophisticated loads, such as computers and electronic devices, cannot cope with large uctuations of voltage For these loads, a continuously adjusted duty cycle is used for smooth control of turbine speed and load voltage for secondary.

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