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A two step filtering method and a dynamic data storing and managing method are proposed.
Especially a two step filtering method and a dynamic data storing and managing method are proposed.
In this paper, a dynamic data model for visualization of industrial assemblies is proposed.
It could be reduced to 1.2% when a dynamic data analysis procedure was applied.
This chapter presents the implementation of a dynamic data center using Microsoft Virtualization and System Center.
In order to obtain better scalability, the proposed method makes use of a dynamic data partitioning method.
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The proposed system consists of a relational database and a dynamic data-driven web application.
We demonstrate our results on a dynamic data-driven application involving patient health care monitoring.
Different models must be smoothly assembled according to the data processing flow to obtain a dynamic, data-forced evacuation simulation.
The ASPAD framework comprises four major components, namely, a security service middleware, a dynamic data-partitioning mechanism, a response time estimator, and an adaptive security quality controller.
The presence of autocorrelation can be interpreted as a signal of misspecification, and more particularly of a dynamic data-generating process, that requires a time series approach to the data.
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