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Note that the Decomposer must know that the account table has three horizontal fragments called Acct1, Acct2, and Acct3. Based on the fragmentation assumptions we have made, account 100 is stored at Site 1, account 200 is stored at Site 2, and account 300 is stored at Site 3. For this example, the DEM needs to send two commands to the LEM at Site 2. One command is to read the balance of account 200. This command in SQL is Select bal into Y from Account where A# = 200. The second command is an instruction to Site 2 to send the results back to Site 1. Site 1 packages these two commands in one message and sends the message to Site 2. In response, Site 2 sends the balance of account 200 in variable Y, as part of a response message, back to Site 1. Similar commands are sent to Site 1 and Site 3.

Operational Management (Enterprise)

by the ergodic theorem. Similarly, by the ergodic theorem, 1 1 n 1 log p(X0 |X 1 , X 2 , . . .) = n n H

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D Looney, D P Danilo, A Machine Learning Enhanced Empirical Mode Decomposition (Accepted) Proc IEEE Int Conf on Acoustics, Speech, and Signal Processing (ICASSP O8), 2008 13 D Looney, L Li, T Rutkowski, D P Mandic, A Cichocki, Ocular Artifacts Removal from EEG Using EMD First Int Conf Cognitive Neurodynamics, Shanghai, China, November 2007 14 D P Mandic, M Golz, A Kuh, D Obradovic, T Tanaka, Signal Processing Techniques for Knowledge Extraction and Information Fusion Springer, 2008 15 D P Mandic, G Souretis, W Leong, D Looney, M Hulle, T Tanaka, Signal Process ing Techniques for Knowledge Extraction and Information Fusion Springer, 2007 16 A Paolin, A Manuali, F Di Paola, F Boccaletto, P Caputo, R Zanata, G P Bardin, G Simini, Reliability in diagnosis of brain death, Intensive Care Med, 21: 657 662, 1995 17 Y Saito, T Tanaka, J Cao, D P.

***---- Fuction to detect the Start of IVR Playout Function WaitForIvrStart( ) as telEvent dim dim voiceBegin event as integer as telEvent

and thus are not distributed between rules. This leads fuzzy systems designed using local optimization criteria to have higher interpretability locally. When using the vector form, these criteria can be rewritten as: T Y YT Q EG Y YT Q 2:21a

Danilo, Quasi-Brain-Death EEG Data Ayalysis by Empirical Mode Decomposition Proc ICCN 2007 18 G Souretis, D P Mandic, M Griselli, T Tanaka, M M Van Hulle, Blood Volume Signal Analysis with Empirical Mode Decomposition Proc 15th International DSP Conference, 2007, pp 147 150 19 T Tanaka, D P Mandic, Complex Empirical Mode Decomposition, IEEE Signal Processing Letters, 14(2): 101 104, February 2007 20 J W Tukey, Exploratory Data Analysis Reading, MA: Addison-Wesley, 1977 21 L Wald, Some Terms of Reference in Data Fusion IEEE Trans Geosciences and Remote Sensing, 37(3): 1190 1193, 1999 22 E Waltz, J Llinas, Multisensor Data Fusion Artech House, 1990 23 R R Zhang, S Ma, E Safak, S Hartzell, Hilbert-Huang Transform Analysis of Dynamic and Earthquake Motion Recordings J Engineering Mechanics, 129: 861 875, 2003..

SPS discovery and management. The SPS management is implemented as a network-based service, which provides information about discovered SPS services. In addition to that, it runs a standard UPnP discovery engine, to which the SPS republisher connects. The SPS Manager also hosts sophisticated lter mechanisms, which considers restrictions from user preferences or service requirements. 4.4.4.2 SPS Protocol To be compliant with existing discovery frameworks, SPS implements the discovery-related aspects of the UPnP protocol. Here the detected services are treated as devices in UPnP notation. In SPS, the UPnP mechanism experienced the following modi cations: Unicast UPnP. Since the SPS republishing is typically performed across network domain boundaries, the multicast model of UPnP had to be modi ed towards a unicast-enabled UPnP communication. Lifecycle management. With respect to the dynamic connectivity of the service promoters, a new lifecycle management replaced the traditional one, which foresees a time-controlled frequent alive noti cation. In SPS, the refresh noti cation is performed every time when a connection is established. A timeout mechanism was applied to the UPnP sink to handle in an intelligent manner a missing refresh message. With UPnP, the SPS service discovery can be embedded in an external service discovery framework.

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