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the weighted average size differences, computed by (1120) and also by (1121) Since the results obtained from the similarity analysis using WASD and those using WAS2D were similar, we will display the results by using P2 WAS2D For each of the inputs P1 and P2, we have assumed ve triangular membership functions for the fuzzi cation step Their respective linguistic variables are: VS Very Small; SM Small; MD Medium; BG Big; and VB Very Big It is well known that the general problem in fuzzy modeling, control, and decision is the proper tuning of the locations (centers) of all membership functions Here different optimization techniques could be applied to successfully tune the membership function locations, with a preliminary de ned optimization criterion In this chapter we are not dealing with the problem of precise tuning and the choice of the optimization criterion.

As we mentioned earlier, the platform provides several facilities and subplatforms. One of these facilities is the Microsoft Message Queuing (MSMQ) service. This facility can be used for Remote Messaging and in many respects is similar to the Java Message Service (JMS), which we discussed in 15. The platform also provides access to lower-level networking constructs and facilities, including sockets and channels. We can also use the .NET Remoting and marshalled by value server objects we discussed in the previous section to implement Remote Messaging. However, since the DNETSKIT (like the J2EE-SKIT) is not focused on Remote Messaging, we will not discuss any of these facilities further.

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We are rather interested in investigating and showing how sensitive are the preliminary chosen parameters P1 and P2 to the nal results from the similarity analysis For this purpose in the sequel we propose a kind of simple heuristic (and approximate) computational procedure for nding the range and the centers of the membership functions for P1 and P2 First, we compute the ranking lists P1min ! P1max and P2min ! P2max for each image separately, compared to all other images The results from these computations for the test example with 18 images is shown in Figure 1111 for parameter P1 COGD and in Figure 1112 for parameter P2 WAS2D After that, the centers of each linguistic variable are computed according to the following (heuristic) rule: VS 00 SM Mean value of Rank No 2 for all images MD Mean value of Rank No.

Importing Adobe Illustrator files Flash can import and export Adobe Illustrator files in version 8.0 format or earlier. (For information on exporting Illustrator files, see Adobe Illustrator on page 397.) When you import an Illustrator file into Flash, you must ungroup all the Illustrator objects on all layers. Once all the objects are ungrouped, they can be manipulated like any other Flash object.

A modal dialog is destroyed by calling EndDialog: EndDialog(hDlg, nResult);

5 for all images BG Mean value of Rank No 9 for all images VB Mean value of Rank No 17 (the most different image).

In mt-3urls.mysql, we have a file that is ready to be imported into MySQL on the new server and which should run MT flawlessly with all of the information from the old server intact.

Its Cartesian geocentric coordinates (x, y, z ) relative to the three axes of a reference frame whose origin is located at the center of the Earth. Its geographical coordinates longitude l, latitude w, and ellipsoidal height h. Its plane coordinates obtained when making a plane projection onto a local Earth surface area.

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