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There have been numerous de nitions proposed for environmentally degradable and biodegradable water-soluble polymers and plastics; almost every article written on the subject includes the author s favorite de nitions. All tend to encompass the same broad concepts but are slightly different in phraseology depending on the author s perspective and discipline, that is, chemist, biochemist, layman, lawyer, legislator, and so forth. This is both fortunate and unfortunate since, on the one hand, it should ensure that there is broad understanding of the problem but, on the other hand, it may also mean that we will never reduce to words an acceptable de nition that has worldwide consensus. Consensus may be better reached by addressing the speci cations for polymers in various degradation pathways as established by the testing protocols to be discussed later. However, de nitions are important because they are indicative of general expectations for the acceptance of environmentally degradable and biodegradable polymers and of the types of testing protocols that are needed to establish the acceptability of polymers in a particular environment. At this time, the de nitions developed by the American Society for Testing and Materials (ASTM) [1] for degradable, biodegradable, photodegradable, hydrolytically degradable, and oxidatively degradable plastics, indicated below, are probably the most widely accepted as written or in some slightly modi ed form. They are equally applicable to water-soluble polymers and are used as such in this chapter.

1. Open a new drawing using the acad.dwt template. Choose Tools Macro Visual Basic Editor. 2. Choose Insert Module. VBA opens the module text editor. (If you ve previously opened a module, Visual Basic may launch with a blank module already open. In that case, skip this step.) 3. Choose Insert Procedure. In the Name text box, type DrawTorus. The type should be Sub and the scope should be Public. Click OK. 4. Type the following code. (Note that the second and last lines are already there for you.)

Table 26.1 Worksheets and cross-references Topic Stakeholders Description Summarizes the key stakeholders, the issues of concern to them and their objectives Summarizes the criteria, their definition and the method of measuring each one Source Figure 2.1 Examples Tables 2.2, 2.3, 2.4, 24.2 26 reference Figure 26.1

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For e cient network utilisation the mobile operator should apply QoS di erentiation in the IP network. Voice packets should not experience queuing delay, and delayed voice packets should be dropped as they are of no use for the application. On the other hand, data packets can be delayed but should not be dropped, as in most cases the application will eventually need to ask for a retransmission of the lost data. Note that the additional delay tolerated by a data application depends on many factors such as the connection speed, round trip delay and con guration of connection endpoints. If a packet is queued too long the application will consider it as lost. Meeting the requirements of all services with a uniform best-e ort service and heavy overprovisioning is feasible as long as all networking equipment is concentrated on one site or a small number of sites that can be cost-e ciently connected to high-speed links. In a large network with numerous sites and expensive wide-area links, plain overprovisioning becomes too expensive. Another issue is the need to cope with rapidly changing tra c patterns and exceptional situations such as loss of transmission or routing capacity because of a failure. Under unexpected conditions even a heavily overprovisioned best-e ort network may fail as mission-critical applications face extensive loss and delay. In QoS-enabled networks, prioritised packets survive while less important tra c is dropped. QoS helps in coping with unexpected situations.

Of these, it is geometrical complexity and moving meshes that pose the greatest challenge in terms of generating useful results within a reasonable timescale, and it is these applications that form the focus of this chapter.

to determine the best operating point for both types of traffic if their distributions are independent. Best-effort flows can experience congestion or even starvation if guaranteed flows are not routed appropriately. On the other hand, the network state changes dynamically due to transient load fluctuation, connections in and out, and links up and down. The growing network size makes it increasingly difficult to gather up-to-date state information in a dynamic environment. The performance of a QoS routing algorithm can be seriously degraded if the state information used is outdated. Since many of the properties e.g., call blocking probability. of resource reservation, admission control, and traffic access control are functions of the path taken through the network topology, ideally route selection and resource reservation should be integrated so that the choice of route can be a function of QoS. The stability of routes can be correlated with the life of the reservation and reservations can be efficiently repaired after topology failures. Section 8.1 describes QoS signaling and routing in ATM networks. Section 8.2 discusses QoS routing in the Internet.

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The error of using PARM versus the nest grid resolution through all the application phases is shown in Tables 21.4 and 21.5. The error is calculated as absolute error and relative error is shown in the bracket. Absolute error = max(hi hi ), Relative error = max(|hi hi |/ hi ), (21.6) (21.7)

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