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Southard and Amos (1996)
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The Antaris module (a) and associated chipset (b). (u-blox.)
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Boolean escape eval getProperty getTimer getVersion isFinite isNaN Number parseFloat parseInt String targetPath unescape
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Drag-and-drop is optional; you can disable it in the Edit tab of the Options dialog box.
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R E C O G N I T I O N O F H U M A N G R A S P BY FU Z Z Y M O D E L I N G
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Table 8.13 +0.5981 +1 0.0077 0.0078 0.0043 0.0017 0.0001 0.0305 0.0057 0.0254 1 1 1 +1 0.0002 0.0394 0.8323 0.3962 1.7586 +1.4905
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applications may need ad-hoc con guration les in order to be played on users terminals. In this case, it is necessary that users terminals automatically receive the necessary information in order to upgrade their own con guration. Proactive Service Provisioning Proactive Service Provisioning advertises applications automatically or proactively to users/groups, without any user/group request or interaction. Proactive Service Provisioning could be triggered in two different cases: A new application, never released before, becomes available in the system. In this case Proactive Service Provisioning is named Advertising and, according to static associations (even based on historical context information), it is possible to select users who could be interested in certain service categories. Associations used for the selection might also be dynamically deduced. Either the context or the preferences of a speci c user, who previously asked for the list of available applications, has changed. As soon as the Proactive Service Provisioning is noti ed about such changes, the current situation is derived and analysed and the list of available applications suitable for that user in that situation is automatically pushed to the user herself. Based on such information, for example, a certain location (e.g. a bus stop) can trigger an application to buy tickets. Self-provisioning Self-provisioning provides functionalities to manage the user-service pro le and service subscriptions. 3.3.6.3 Data Structures Service Descriptor A service is described by the Service Descriptor and its related meta-information. Service Catalogue Provisioning is a repository of services. The Service Descriptor is essential for enabling Service Discovery, Service Composition and Service Catalogue Provisioning. A Service Descriptor is represented as an XML document containing the following information: Name. This element represents the name assigned to the service at creation time. A service must have a name element. Version. This element represents the version of the service. This versioning is usually managed by the service provider and is necessary for managing service upgrades on the network. A service must have a version element. De nition. This element contains the URL of a formal description of the service, such as a WSDL document. This element has also an optional attribute named Type which can be used to describe and categorise the content type of the element. A service description must have one or more de nition elements. ID. This element represents a unique identi er of the service. The identi er can be automatically generated by the publishing system, or provided by the publisher itself. A service may have an id element.
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1056 bits 125 ms 256 bits 8 kbps
given tickets 10 and 11, respectively. As a result, after the token arrives at Site 1 again it carries ticket 12. This results in a serial schedule as T11 T12 T21 T41 T42 T43 T31 T32 T33 T44 T34. The replication control algorithm is able to deal with the loss of the token as well. The token may be lost in transition (from one site to another) or disappear when it is at a site and the site fails. In either case, a replacement token is generated by the site that recognizes the loss of the token and the process continues. The issue with token recovery is to make sure that the tickets on the new token do not duplicate the tickets that were on the old token, to avoid confusion in the serialization order of transactions. We explain how to deal with the loss of the token in Example 7.3. Example 7.3 Suppose we have the following four-site system using the token passing replication control on a virtual ring as shown. Site 1 sends the token to Site 2, Site 2 sends it to Site 3, Site 3 sends it to Site 4, and Site 4 sends the token back to Site 1, completing the ring. Also, for fairness, assume that when a site receives the token it can ticket a maximum of two transactions as shown in Figure 7.4. When the system starts, the token is at Site 1 and has ticket 1 on it. Before Site 1 sends the token forward, it tickets its only transaction, T11, with ticket 1 and forwards the token. When the token leaves Site 1, it carries ticket number 2. Site 2 pulls ticket 2 and assigns it to transaction T21; Site 3 tickets T31 and T32 with tickets 3 and 4. Finally, Site 4 tickets T41 and T42 with tickets 5 and 6. Therefore, when the token arrives at Site 1 again it is carrying ticket 7. In the rst circulation of the token, transactions T11, T21, T31, T32, T41, and T42 are ticketed with ticket numbers 1 through 6.
Select Windows > Actions. Do one of the following: and choose Expert Mode.
Figure 15.3. Micropatterned cocultures with constant ratio of cell populations. Phase-contrast micrographs of micropatterned cocultures indicate a broad range of heterotypic interface achieved despite similar cellular constituents. Four of ve patterns used in study are shown. Diameters of hepatocyte islands were 36 m (A), 100 m (B), 490 m (C), and 6800 m (D). From Bhatia et al. [1999].
22,900 23,100 15,000 19,900 5,200 86,100
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