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where yt is the normalized data, and min and max denote the minimum and maximum values of zt ; t 1; . . . ; N. The performance of the forecasting models was evaluated using the root mean square error (RMSE) (4.19) and the nondimensional error index (NDEI) (4.20). The ePL model adopted the following values: b t 0:30, r 0:25, and l 0:35. These are the only parameters of the ePL algorithm that need to be chosen by the user. The ePL found ve rules during the 30-day development period. During testing, ePL uses hourly loads data and runs as in online mode. An MLP with the same structure and initial parameters as that developed for the Box & Jenkins benchmark was used to forecast loads in the period. MLP training also started with small, randomly chosen initial weights and took 5000 epochs to converge. Load forecasting for the same time period also has been done using ANFIS. The structure and parameters are also the same those used for the Box & Jenkins problem, and the maximum number of epochs was 1000. The eTS and xTS models were developed considering the rst 30 days before the testing period. The value of the cluster radii for the eTS model was r 0.4. Both eTS and xTS models adopted P0 750 to initialize the recursive least squares. In the experiments reported here, we ran the eTS and xTS implementation given in [9]. Table 4.2 shows the performance of the models during the testing period (24 hours), considering the two error criteria (4.19) and (4.20). The table also includes the nal



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Extensions have been proposed in IETF to the RADIUS and diameter protocols to enable them to support true prepaid, namely, utilizing authentication and authorization messages to trigger the checking of a prepaid balance before a service is released and to carry a quota grant (eg, seconds or kilobytes) that is authorized for use in the service before re-authenticating and obtaining further quota to continue using the service [8] Diameter is speci ed as a base protocol, which provides common functionality to a set of supported applications One such application is the Diameter Credit Control application [9], which enables real-time credit control for network and contentbased event and session-centric services, and includes operations to support reservation and direct debit against a prepaid balance The application also supports advice of charge, correlation, and error handling Figure 12.





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We consider the problem of cooperative reachback in the context of extremely dense large-scale networks. In fact, the approach we take to studying these networks is to assume that the number of nodes in a nite-area network grows unbounded. That is, we consider an asymptotically dense network as a close approximation for realistic large-scale dense networks. Whereas in nitely large networks consisting of nodes with zero mass are clearly not realizable by physical devices, there is a trend toward miniaturization of these devices. For example, in recent work, a hardware simulation and deployment platform for wireless sensor networks capable of simulating networks with on the

where ^k is the model output. We consider the following case: 200 training data y examples to initialize the fuzzy rule base and the remaining 90 data pairs to test and validate. Model evaluation is performed considering the root mean square error (RMSE) and the nondimensional error index (NDEI), which is the ratio between the RMSE and the standard deviation of the target data. These indexes are computed using the following expressions: !1=2 N 1X dk ^k 2 y 4:19 RMSE N k 1 NDEI RMSE std dk 4:20

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With WINMIRA, the JML (or UML) method is then used to estimate person parameters The program has an option for computing the maximum likelihood estimators and weighted likelihood estimators This computer program can be downloaded at http://winmiravon-davierde or http://wwwassesscom The full version permits an analysis of 256 items, 100,000 observations, 200 latent classes, and 30 categories per item In contrast to the registered version, the demo does not write SPSS files, does no bootstrap fit tests, and is restricted to 1,000 cases, 12 items, and 4 latent classes with a maximum of 5 categories All features of the software are outlined in a manual (HTML document) that is included only in the registered version ConQUEST is a computer program developed at the Australian Council for Educational Research for fitting item response models to test and questionnaire data (Wu, Adams, & Wilson, 1999).

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incremental approach to education be undertaken, starting with information and skill building, with the immediate goal of stabilizing metabolism, followed by more in-depth education once the patient and family have made an emotional adjustment to the disease Other recommendations for components of a diabetes education program include use of the patient s primary language (Martinez, 1993); accommodation of the patient s literacy level, a model that involves two-way communication between patient and provider (Glasgow, Fisher, et al, 1999); and recognition of the dynamic nature of the diabetic regimen (Glasgow & Anderson, 1999) A goal of Healthy People 2000 (US Department of Health and Human Services, 1991) is to have 75% of people with diabetes receive education Toward that end and toward the goal of continuing to improve the effectiveness of diabetes education, a number of recent models for diabetes patient education have been proposed (eg.

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