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A third and more appropriate de nition is to use the concept of root mean cube speed, Vrmc , analogous to the root mean square (effective value). This de nition is based on the idea that yearly average power varies with the cube of the wind speed experienced by h; that is, s 1 1 3 3 4:10 Vrmc hv dv 8760 0 Table 4.1 lists some popular formulas for the calculation of wind speed, root mean cubic power, and energy density over the number n of speed samples during the year, usually with ri 1:225 kg/m3 at t 15 C. If we assume that the power coef cient Cp in equation (4.5), is no higher than 0.5 for high wind speeds and two-blade turbines, we can conveniently take this value as the maximum practical rotor ef ciency. Therefore, the maximum output power for the root mean cubic of the wind speed is r 3 Prmc AVrmc 4 watts 4:11

3.50

7 Application layer 6 Presentation layer 5 Session layer 4 Transport layer 3 Network layer 2 Data link layer 1 Physical layer Sat/AP8.2-1

Canberra distance, see Distance, Canberra Caption, see Graphical element, caption CART, see Decision trees Case studies, 166, 181 203 Categorical, see Variables, categorical Categorical labels, see Graphical element, labels Centroid, see Agglomerative hierarchical clustering, centroid; Fuzzy k means, cluster centroid; k means clustering, centroid Chemical, 177 179, 203 210 Chemical information, 166, 178, 203 210 Chemoinformatics, 178, 214 Chi square test, 10, 113, 199 201, 246, 250 251 Churn, 111 114, 167 168 Class frequency, 37 Class intervals, 37 choosing number of, 37 38 endpoint conventions for, see Endpoint convention Classi cation, see Data mining tasks, classi cation Classi cation cutoff, 124. See also Logistic regression, cutoff Classi cation tree, 113 114, 116, 163, 269 270. See also Decision trees Cleaning, see Data, cleaning Clinical data, 179 Cluster image map, 14, 60 63. See also image maps Clustering, 5, 12 13, 15, 17, 62, 67 110, 169 170, 178, 183 185, 187, 207, 213, 221 222, 253 257 advantages, 110 assessment, 110 data visualization, 72 density based, 110 disadvantage, 110 divisive hierarchical, 110 documents, 210 215 example, 67 fuzzy, 15, 74, 103 108, 110. See also Fuzzy k means grid based, 110 hierarchical, 15, 73, 87 98, 110, 213. See also Agglomerative hierarchical clustering method selection, 73

the various two-way communication channels (trunks) are not fixed assigned to given, preassigned directions, but are pooled for the whole network traffic and are assigned on request to a given direction only during the duration of the concerned communication. Due to the concentration effect, the number of channels in the network is determined by the total traffic. The calculation (using Erlang tables) of the number of required SCPC channels (and satellite carrier frequencies) shows a significant reduction compared to the preassignment (PAMA) case (examples of DAMA dimensioning calculations are given in 5.5.7).

8 INVITE Referred-By: A 9 NOTIFY 10 180 Ringing 11 200 OK 12 200 OK 13 BYE 14 ACK 15 200 OK Media Session No More Session

public void updateUser( UserDTO user ) { UserLocal lu;

6/4 (linear)

A beauty dish is a type of light modi er gaining in popularity lately that provides a soft, attering light for portraits and products as a distinctive alternative to the widely used softboxes. A beauty dish is a large, wide, round re ector that is mounted directly to the ash head and includes an internal light baf e and often an optional diffusion cover. The light from the strobe strikes the internal baf e rst then is de ected into the dish which then directs it toward the subject. It creates a somewhat directional, concentrated

When you click the Layout button of the wizard s last dialog box, you get the dialog box shown in Figure 18-9. The fields in the database appear as buttons along the right side of the dialog box. Simply drag the buttons to the appropriate area of the pivot table diagram (which appears in the center of the dialog box).

needs it, on any device in which the consumer needs it Therefore, it is basically an anytime, anywhere, any device computing paradigm The SoD vision enables a business to leverage its enterprise information assets to perform its business operations and to communicate with others anywhere, anytime, and on any device Sun ONE uses the term Services on Demand to encompass a service built using any of the following software methods: Local applications Defined as a monolithic application running on PCs/workstations Client/Server applications Applications structured so that the presentation layer and business layer run on a heavy client, such as a desktop with the required client runtime installed where the data is stored in the backend in the database layer Web applications Applications that can service requests and send responses over the Web protocols, mainly HTTP Web services Applications that use XML-based protocols, usually on top of Web protocols Web clients.