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The input vector xn would be assumed to have been appropriately clustered by existing fuzzy rules or EBF neurons if the ring strength of at least one neuron is greater than 0.1354. This condition would ensure that no individual input can have a fuzzy membership grade less than 0.1354, and thus the e-completeness of fuzzy rules (Lee, 1990), with e 0:1354, would be satis ed. It is also to be noted that for a Gaussian membership function MF cij ; sij the membership grade is 0.1354 for the inputs at cij 2sij . Assuming a normal input data distribution, 95% of input data belonging to this membership function will lie within the input range cij 2sij ; cij 2sij .

This section gives a brief overview of common applications and services for home, leisure and work use, and discusses the increasingly digital access to public services. Home/leisure The number of people using the Internet from home is still climbing in Europe. People use the Internet at home for many different purposes, including news and entertainment browsing, email, e-commerce, gaming, and downloading video clips, music and other media. Various web-based applications and services that support community groups have also emerged, such as Yahoo!Groups, a free service that makes it easy to set up a website (with le sharing and scheduling tools) and e-mail list for a particular group (such as a group of family and friends). Instant messaging services such as Instant Messenger and ICQ are also popular for home use. Finally, the trend of web logging (blogging) is also on the increase. All of these activities have an analogue in the mobile world. Many mobile applications and services are focused on leisure activities. Mobile operators are offering various presence services, which users can use to locate each other and which

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2.1.2.1 Nonreplicated, Nonfragmented This design alternative allows a designer to place different tables of a given database at different sites. The idea is that data should be placed close to (or at the site) where it is needed the most. One bene t of such data placement is the reduction of the communication component of the processing cost. For example, assume a database has two tables called EMP and DEPT. A designer of DDBMS may decide to place EMP at Site 1 and DEPT at Site 2. Although queries against the EMP table or the DEPT table are processed locally at Site 1 and Site 2, respectively, any queries against both EMP and DEPT together (join queries) will require a distributed query execution. The question that arises here is, How would a designer decide on a speci c data distribution The answer depends on the usage pattern for these two tables. This distribution allows for ef cient access to each individual table from Sites 1 and 2. This is a good design if we assume there are a high number of queries needing access to the entire EMP table issued at Site 1 and a high number of queries needing access to the entire DEPT table issued at Site 2. Obviously, this design also assumes that the percentage of queries needing to join information across EMP and DEPT is low. 2.1.2.2 Fully Replicated This design alternative stores one copy of each database table at every site. Since every local system has a complete copy of the entire database,

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