911 resultados para learning management system (LMS)


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National Highway Traffic Safety Administration, Washington, D.C.

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Louisiana Transportation Research Center, Baton Rouge

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"UILU-ENG 83-1724."--Cover.

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Publisher location came from U.S. EPA About EPA, Mailing addresses and phone numbers webpage.

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WI docs. no.: Ed.3/2:3075

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Mode of access: Internet.

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Excerpts of the main volume with the same title.

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Excerpts of the main volume with the same title.

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"JFMIP-SR-99-9."

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"This material was compiled by the Audit Division, National Office for Orientation of Management Officials in the national, regional and district offices of the Audit Information Management System (AIMS)."

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Thesis (Ph.D.)--University of Washington, 2016-06

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The roiling financial markets, constantly changing tax law and increasing complexity of planning transaction increase the demand of aggregated family wealth management (FWM) services. However, current trend of developing such advisory systems is mainly focusing on financial or investment side. In addition, these existing systems lack of flexibility and are hard to be integrated with other organizational information systems, such as CRM systems. In this paper, a novel architecture of Web-service-agents-based FWM systems has been proposed. Multiple intelligent agents are wrapped as Web services and can communicate with each other via Web service protocols. On the one hand, these agents can collaborate with each other and provide comprehensive FWM advices. On the other hand, each service can work independently to achieve its own tasks. A prototype system for supporting financial advice is also presented to demonstrate the advances of the proposed Webservice- agents-based FWM system architecture.

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Pervasive computing applications must be sufficiently autonomous to adapt their behaviour to changes in computing resources and user requirements. This capability is known as context-awareness. In some cases, context-aware applications must be implemented as autonomic systems which are capable of dynamically discovering and replacing context sources (sensors) at run-time. Unlike other types of application autonomy, this kind of dynamic reconfiguration has not been sufficiently investigated yet by the research community. However, application-level context models are becoming common, in order to ease programming of context-aware applications and support evolution by decoupling applications from context sources. We can leverage these context models to develop general (i.e., application-independent) solutions for dynamic, run-time discovery of context sources (i.e., context management). This paper presents a model and architecture for a reconfigurable context management system that supports interoperability by building on emerging standards for sensor description and classification.