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Broadly speaking, autonomic computing refers to an infrastructure that automatically adapts to meet the demands of the applications that are running in it. Autonomic computing is a self-managing computing model named after, and patterned on, a human body s autonomic nervous system. An autonomic computing system is one that is resilient, and able to take both preemptive and post facto measures to ensure a high quality of service with a minimum of human intervention, in the same way that the autonomic nervous system regulates body systems without conscious input from the individual. The goal of autonomic computing is to reduce the complexity in the management of large computing systems such as the Grid. The Grid needs autonomic computing for following reasons. Complexity: The Grid is complex in nature because it tries to couple large-scale disparate, distributed and heterogeneous resources such as data, computers, operating systems, database systems, applications and special devices which may run across multiple virtual organizations to provide a uniform computing platform. Dynamic nature: The Grid is a dynamic computing environment in that resources and services can join and leave at any time.

The process phase for this iteration will execute the filled section since the condition for its execution are met namely the variables specified in its namelist attribute are filled The mode value of all (the default) means that the filled section is only invoked when all of the namelist variables are filled In contrast, if the mode value was set to any, the filled section would have been invoked if any of the variables in the namelist were filled The filled section in this example submits the values obtained from the form to the Web server, which can store this data in a database and use it to determine the next dialog to perform A <submit> element will result in a new VoiceXML page being returned and the execution continues in the new document.

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and we can plot the energy spectrum, as shown in Figure 1.19. We can see that the energy spectrum falls to 0.5 for = 0 0.693 T0; that is, 1 2 = 0.693 T0 It is interesting to note that the product of Equations 1.49 and 1.54 yields t1 2 1 2 = 0.693 We can multiply Equation 1.55 through by the Heisenberg Uncertainty principle: (1.55) (1.54)

<xsd:sequence> <xsd:group ref="AddressGroup"/> </xsd:sequence> </xsd:complexType> <xsd:complexType name="PastAddressesType"> <xsd:annotation> <xsd:documentation> The PastAddressesType type simply consists of a sequence of zero or more past addresses. </xsd:documentation> </xsd:annotation> <xsd:sequence> <xsd:element name="PastAddress" type="PastAddressType" minOccurs="0" maxOccurs="unbounded"/> </xsd:sequence> </xsd:complexType> <xsd:complexType name="PastAddressType"> <xsd:annotation> <xsd:documentation> This type definition references a group definition in the XMMLCore.xsd type library. It could have been omitted by creating an additional Address element in the instance document and a corresponding Address element declaration in XMMLCore.xsd. </xsd:documentation> </xsd:annotation> <xsd:sequence> <xsd:group ref="AddressGroup"/> </xsd:sequence> </xsd:complexType> <xsd:complexType name="CompanyExperienceType"> <xsd:annotation> <xsd:documentation> The CompanyExperienceType type contains information specific to the XMMLHRFile.xml instance document. Therefore there is no reference out to any other type library from it. </xsd:documentation> </xsd:annotation> <xsd:sequence> <xsd:element name="DateJoined" type="DateJoinedType"/> <xsd:element name="DateLeft" type="DateLeftType"/> <xsd:element name="HRNumber" type="HRNumberType"/> <xsd:element name="CurrentAssignment" type="CurrentAssignmentType"/>

If the recogniser detects no input during the collect phase, a noinput event is thrown and the process phase invokes the first catch handler, which simply plays a prompt The FIA loops around again and selects the first unfilled form item Similarly, if the recogniser detected input but did not recognise it, a nomatch event is thrown and caught by the second catch handler Note that in both these cases, the selected field s prompt is not repeated this is the default behaviour To force a repeat of the field s prompt, a <reprompt> element can be added to the end of the catch handler Below is a sample transcript for the dialog: Platform: Welcome to EasyTicket! Which movie would you like tickets for Caller: Vampire Movie II..

Consider the channel model given by Equation (2.1). For simplicity, we will analyze the case when the channel parameters are estimated by sampling only two nonadjacent bands B1 (M1v0 , N1v0 ) and B2 (M2v0 , N2v0 ), while the same approach can be generalized to the case with multiple frequency bands. Let Y n be the DFT coef cients of the received signal corresponding to the bands B1 and B2 , and let Ys n Y n =S n (assuming again that this division is well-conditioned). P Under the above assumptions, the noiseless coef cients Ys n are given by Ys n L al zn , where l 1 l

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