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controllable. In the classical IP thinking based on robustness of networks, each packet is in principle routed independently, whereby route apping between two or more routes for packets belonging to a single ow is possible [Pax97, Pax97b]. The rst step towards differentiated routing would be to divert some service event types to a path with something else as lowest cost, while other traf c types would be routed along the lowest cost path. In this Type-of-Service (ToS) routing, the routing of individual service events could still be done per packet, following the basic philosophy of packet switching. Alternatively, all PDUs belonging to a service event type can be routed in a connectionoriented way using a prede ned path. This property, which could be implemented with ATM or MPLS, for example, may be desirable in order to avoid switching back and forth between routes of different length. Routing differentiation can be provided for some traf c types only, if both IP routing and connection-oriented routing can be mixed in the same network elements. What sets routing differentiation apart from capacity reservation is that the former does not necessitate hard reservations. Routing differentiation can be applied to packets, ows or traf c aggregates.

Figure 1'8.61

Click New Sequence and the Name Sequence dialog box shown in Figure 18.10 opens. The first step in creating a batch sequence is to provide a name for the sequence. The name supplied in the dialog box ultimately is added to the list in the Batch Sequence window. When you want to run the sequence you can open the Batch Sequences dialog box, select any one of the sequences you added to the list, and click the Run Sequence button. FIGURE 18.10

where jsName is the JavaScript name for the function, call is a pointer to a C-level function, and nArgs is the number of arguments that the function can expect. For example, the MM_ Init() function for DWfile might appear as follows:

h(u, v) is the optical transfer function (OTF) of Section 6.4.1, and its magnitude is the optical modulation transfer function. In analogy with the OTF, we refer to ^(u, v) p ^ v)^(u, v) as the system as the pixel transfer function (PTF) and to the product h(u, p transfer function (STF). Figure 7.2 illustrates the magnitude of the OTF [e.g., the modulation transfer function, (MTF)] for an object at in nity imaged through an aberration-free circular aperture and the PTF for a square pixel of size D. One assumes in most cases that the object distribution f(x, y) is not bandlimited. Since the pixel sampling function p(x, y) is spatially compact, it also is not bandlim^ ited. As discussed in Section 6.4.1, however, the optical transfer function h(u, v) for a well-focused quasimonochromatic planar incoherent imaging system is limited to a bandpass of radius 1=lf =#. Lowpass ltering by the optical system means that

Because the slide navigation menu that appears is identical whether you click the Slide button or right-click anywhere on the slide, this chapter only mentions the right-click method whenever you need to choose something from this menu. However, keep in mind that you can also click the Slide button if you prefer. n

When using an identity document in different names, no more than one such document should be carried at one time. The validity of the falsified travel documents should always be confirmed. When a brother is carrying the forged passport of a certain country, he should not travel to that country. It is easy to detect forgery at the airport, and the dialect of the brother is different from that of the people from their country.23

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Rosenschein, S. J. and Kaelbling, L. P. (1996) A situated view of representation and control. In Computational Theories of Interaction and Agency (eds P. E. Agre and S. J. Rosenschein), pp. 5 15-540. MIT Press, Cambridge, MA. Rothermel, K. and Popescu-Zeletin, R. (eds) (1997) Mobile Agents, LNCS Volume 12 19. Springer, Berlin. Rumbaugh, J. et a].( 1 991) Object-Oriented Modeling and Design. Prentice-Hall, Englewood Cliifs, NJ. Russell, S. and Norvig, P. (1995) Artificial Intelligence: a Modem Approach. Prentice-Hall, Englewood Cliffs, NJ. Russell, S. and Subramanian, D. (1995) Provably bounded-optimal agents. Journal of A1 Research, 2 , 575-609. Russell, S. J. and Wefald, E. (1991) Do the Right Thing-Studies in Limited Rationality. MIT Press, Cambridge, MA. Sadek, M. D. (1992) A study in the logic of intention. In Proceedings of Knowledge Representation and Reasoning (KR&R-92),pp. 462-473. Sandholm, T. (1999) Distributed rational decision making. In Multiagent Systems (ed. G. WeiR), pp. 201-258. MIT Press, Cambridge, MA. Sandholm, T. and Lesser, V. (1995) Issues in automated negotiation and electronic commerce: Extending the contract net framework. In Proceedings of the 1st International Conference on Multi-Agent Systems (ICMAS-95),San Francisco, CA, pp. 328-33 5. Schoppers, M. J. (1987)Universal plans for reactive robots in unpredictable environments. In Proceedings of the 10th International Joint Conference on Artificial Intelligence (IJCAI87), Milan, Italy, pp. 1039-1046.

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