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10, where streaming of a video clip has been interrupted by the cell reselection procedure The gap is measured at the application layer based on any unacceptable values of round trip time As the gap is normally quite long (eg, higher than 30 s in Figure 510,), in the following sections we will describe brie y how new features may reduce this data interruption Network-controlled cell reselection Network-controlled cell reselection (NCCR) is a feature that speeds up the cell reselection process commanding the MS to send measurement reports to the BSC, and giving the network full control of the procedure In the case of non-stationary handsets that cross cell borders, this provides better service performance The mode of operation is.

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Method validation is closely related to method development. When a new method is being developed, some parameters are being evaluated already during the development stage while in fact this forms a part of the validation stage [15]. On the other hand, a validation study may indicate that a change in the method protocol is necessary, which may then require revalidation [58]. Before any method validation is started, the scope of validation must be xed, comprising both the analytical system and the analytical requirement. A description of the analytical system includes the purpose and type of method, the type and concentration range of analyte(s) being measured, the types of material or matrices for which the method is applied, and a method protocol. On the basis of a good analysis lies a clear speci cation of the analytical requirement. The latter re ects the minimum tness-for-purpose criteria or the different performance criteria the method must meet in order to solve the particular problem. For example, a minimum precision (RSD, see below) of 5% may be required or a limit of detection (LOD) of 0.1% (w/w) [2, 4, 15, 58]. The established criteria for performance characteristics form the basis of the nal acceptability of analytical data and of the validated method [58]. Validation of a new analytical method is typically done at two levels. The rst is the level of prevalidation, aiming at xing the scope of the validation. The second level is an extensive, full validation performed through a collaborative trial or interlaboratory study. The objective of full validation, involving a minimum number of laboratories, is to demonstrate that the method performs as was stated after the prevalidation. 8.2.3.2 Guidelines and Guidance on AQA

To illustrate the complexity of some of the types of problems involved, let us consider the following imaginary and somewhat fanciful example. Suppose that a sh packing plant wants to automate the process of sorting incoming sh on a conveyor belt according to species. As a pilot project it is decided to try to separate sea bass from salmon using optical sensing. We set up a camera, take some sample images and begin to note some physical di erences between the two types of sh length, lightness, width, number and shape of ns, position of the mouth, and so on and these suggest features to explore for use in our classi er. We also notice noise or variations in the 3

You can fillet solids but not surfaces. If you create a 3D object from lines, you can fillet the lines. Figure 24-43 shows a 3D mechanical drawing with several filleted edges.

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John H. Bruning GCA Tropel Div. 60 O Connor Road Fairport, NY 14450 U.S.A. Phone: (585) 388-3500 Fax: (585) 377-6332 E-mail: bruningjh@corning.com Alejandro Cornejo-Rodr guez Instituto Nacional de Astro sica, Optica y Electronica Luis Enrique Erro # 1 P.O Box 51, 216 Postal Code 72840 Tonantzintla, Puebla Mexico Phone: 52 (222) 266 31 00 Fax: 52 (222) 247 22 31 E-mail: acornejo@inaoep.mx Katherine Creath Optineering Tucson Arizona U.S.A. Phone: (520) 882-2950 Fax: (520) 882-6976 E-mail: kcreath@ieee.org Parmeswaran Hariharan School of Physics, University of Sydney Australia Phone: (612) 9413 7159 Fax: (612) 9413 7200 E-mail: hariharan_optics@hotmail.com Virendra N. Mahajan The Aerospace Corporation 2350 E. El Segundo Blvd El Segundo, CA 90245 U.S.A. Daniel Malacara Centro de Investigaciones en Optica, A. C. Loma del Bosque # 115 Col. Lomas del Campestre P.O. Box 1-948 Postal Code 7 150 Leon, Gto. Mexico Phone: 52 (477) 441 42 00 Fax: 52 (447) 441 42 E-mail: dmalacara@cio.mx Daniel Malacara-Doblado Centro de Investigaciones en Optica, A. C. Loma del Bosque # 115 Col. Lomas del Campestre P. O. Box. 1-948 Postal Code 7150 Leon, Gto. Mexico Phone: 52 (477) 441 42 00 Fax: 52 (447) 441 42 E-mail: zmalacar@cio.mx Zacar as Malacara Centro de Investigaciones en Optica, A. C. Loma del Bosque # 115 Col. Lomas del Campestre P. O. Box. 1-948

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