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An interpretation that is less bound to probability theory may also choose to see in the probability measure P a kind of quantification of the relative importance or reliability of observers or other information sources [Gebhardt and Kruse 1998] Note that this definition implicitly assumes that the contexts are disjoint, since they are made the elementary events of a probability space At first sight, this seems to prevent us from using overlapping contexts, like those of the color-marked shakers example However, it should be noted that overlapping contexts can always be handled by introducing artificial contexts, combinations of which then form the actual contexts These artificial contexts are only a mathematical device to get the probability arithmetic right.

The main features of such services among other aspects are context awareness, mobility awareness on heterogonous networks, adaptation to network and to devices changes, personalisation, AAA-capability, as well as privacy and trust considerations IMS does not yet speci cally support features covered by the User Interface Adaptation Function (UIAF), and there are no standardised services for service discovery and service composition as introduced by the Service Usage Function (SUF) On the other hand, IMS provides charging, session control, multimedia gateway (media gateway user and control) for interworking with other networks (eg ISDN, PSTN, and QoS), which do not directly have any correspondence in the presented Mobile Services Architecture With respect to the de nition of the Mobile Services Architecture, as described in the following, two main approaches for the mapping of its functional components to IMS can be envisaged: separated realisation of the interworking (Section 35.

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1) and tight integration of the Mobile Services Architecture into the IMS system (Section 352) However, a more realistic approach is probably a exible combination on these approaches, which is described in Section 353 351 Approach 1: Separated Realisation of Interworking In the rst scenario, IMS is seen as a standalone system that could provide some services to mobile services and applications, but following its own path for the evolution and speci cation In this case, mobile services and applications as well as the functional components of the Mobile Services Architecture can access IMS services (eg pro ling, presence and location services) The functional components would be basically realised in the IMS Application Servers accessing and using the other IMS components (eg MGW, HSS, etc), and services through the standard IMS interfaces..

For example, in the color-marked shakers example, we may introduce five contexts c1 to c5 , each having a probability of 1 , and then define that the 5 contexts red and green both correspond to the set {c1 , c5 }, yellow corresponds to {c2 , c4 }, blue corresponds to {c3 , c4 }, and white corresponds to {c2 , c3 } Actually, with these assignments, the contexts c1 to c5 can be interpreted as the shakers 1 to 5 However, it is clear that they can also be constructed without knowing about the shakers as a mathematical tool In the same way, appropriate focal sets can be found A basic possibility assignment is formally derived from a random set by computing the contour function [Shafer 1976] or the falling shadow [Wang 1983a] of a random set on the set .

Here is an example of a very simple vCard file:

OVERALL SUMMARY Entropy. H (X) = p(x) log p(x). p(x) log p(x) . q(x)

c(1) 1 1 0

5.1.1.1 Database Consistency Each data item in the database has an associated correctness assertion. For example, the social security number for an employee must be a unique value, age for an employee needs to be a positive number, an employee must work for one and only one department, the balance of an account needs to be positive and more than $100, and so on. These are all examples of assertions in a database. A database is said to be consistent if and only if the correctness criteria for all the data items of the database are satis ed. 5.1.2 Transaction

That is, to each element the probability of the set of those contexts is assigned that are mapped by to a set containing [Kruse et al 1994] Definition 242 Let : C 2 be a random set The basic possibility assignment induced by is the mapping : [0, 1], P({c C | (c)})..

17.1.2.2 J2EE-SKIT Subsystem Interaction Overview We will largely ignore the DdbmsClient subsystem, because it is not really part of the back-end implementation. The Ddbms subsystem acts as a facade. This is another design pattern, namely, the Facade [Gamma95]. A Facade acts as the public interface in this case the public

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