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Instant messaging systems all were developed as proprietary systems without thought to interconnectivity. As the popularity of IM grew, however, it became clear that there were advantages to linking disparate systems, both public and enterprise. Gateways were developed to support protocol conversions and thereby support interconnectivity between systems, if not full-featured networking. Microsoft s Live Communications Server (LCS), for example, is an enterpriselevel system primarily designed for stand-alone use in internal messaging applications. However, users who are licensed for public IM connectivity can now add contacts, send instant messages, and share presence information with users of MSN Messenger, AOL Instant Messenger (AIM), and Yahoo! Messenger, all of which are public, Web-based services. LCS also supports federation, which is the ability to establish secure IM relationships with trusted business partners. In January 2006, IBM announced plans to allow users of its Lotus Sametime IM system to work with AIM, Yahoo! Messenger, and Google Talk, as illustrated in Figure 4.8. MSN Messenger and Yahoo! Messenger interconnected late in 2005, bringing together some 275 million IM users, representing approximately 44 percent of the online IM community. As both MSN Messenger and Yahoo! Messenger are based on the Session Initiation Protocal (SIP) for Instant Messaging and Presence Leveraging

In order to enforce a lowpass characteristic of Go(z), it is useful to require Go(-l) = 0

10 0.0

The one-to-one and the one-to-many relationship may be constructed from objects from their organizations that users can describe and understand. In the physical schema, a many-tomany relationship can t be modeled with just the visible objects. An associative table (see Figure 2-6), sometimes called a resolution or junction table, is required to resolve the many-to-many relationship. This supporting table artificially creates two one-to-many relationships between the two entities.

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One of the key benefits of using resources is that changing data in a resource file does not require recompilation of the application The most common use of a resource file, though, is for internationalization Resource files often contain all of the necessary strings for an application, which then loads the appropriate information for the culture in which it is running There are currently 12 classes in this namespace The classes that get used most frequently are the ResourceManager, ResourceReader, ResourceWriter, and ResourceSet There are also equivalent classes for ResX-Resources that represent external resources For example, the ResXFileRef class represents a link to an external resource file like a bitmap ResourceManager The purpose of the ResourceManager class is to provide a unified way for looking up localized resources for the necessary culture and bringing them into the application.

Note A culture is essentially a grouping of items such as language, country/region, calendar, and cultural conventions for a particular country or user-group in the world An example is French or Russian The globalization formats available in the NET Framework are dictated by the standards RFC 1766, ISO 639-1, and ISO 3166 The text of these standards can be found at wwwietforg and wwwunicodeorg This class exposes three very important methods: GetString, GetObject, and GetResourceSet GetString allows you to pass culture information and the desired KeyString to the method and receive the appropriate string in return A simple example would be the text in a label If in Spain, return Spanish, and so on Of course, this requires that the Spanish resource exists If not, this method accesses the default resource, which is probably in the language of the developer.

thus hopefully be detected without errors Its effect is then subtracted (cancelled) from the total received signal The receiver then detects the desired signal within the cleaned-up signal As this cleaned-up signal consists only of the desired signal and the noise, the SINR is good, and detection can be done correctly This example makes clear that detection at an SIR of less than 0 dB is possible with multiuser detection Other multiuser structures include Maximum Likelihood Sequence Estimation (MLSE) detectors, which try to perform optimum detection for the signals of all users simultaneously These receivers show very good performance, but their complexity is usually prohibitive, as the effort increases exponentially with the number of users to be detected The performance of MLSE can also be approximated by receivers that use the turbo principle (see Section 145) A general classi cation of multiuser detection distinguishes between linear and nonlinear detectors.

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