the aim of this paper is to present an approach to modelling and usingthe context of learning in intelligent learning environments. the approach developed allows the modelling of the content and dynamics of learning ...
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this paper applies agents to the highly dynamic and variable context of healthcare emergency decision-support domain. More specifically we advocate the use of mobile agents to support the deployment of an ambulance se...
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this paper applies agents to the highly dynamic and variable context of healthcare emergency decision-support domain. More specifically we advocate the use of mobile agents to support the deployment of an ambulance service in real-time. We presented an implementation of the proposed agent based architecture, which was based on the specific functional and non-functional application requirements set out based on thorough analysis of literature. We also created an illustrative emergency scenario in order to demonstrate the validity and feasibility of our proposed model. From the evaluation of the implementation we were able to identify some of the major technical advantages it has to offer as well as challenges one needs to address in similar attempts. We choose mobile agents as the key enabling technology because they offer a single, general framework in which large-scale distributed real-time decision support applications can be implemented more efficiently. Healthcare was chosen as the target application domain to emphasize boththe benefits derived from the exploitation of mobile agent paradigm in this domain as well as to demonstrate the benefits of the proposed approach in the highly uncertain context.
Spatial and temporal granularity can be understood as parameters of context restricting the set of accessible objects in a context. Starting from the idea that this selection process depends to a large extent on the r...
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the K-SCM is an unsupervised learning algorithm, designed to cluster symbol string data in an on-line mariner. Unlike many other learning algorithms there are no time dependent gain factors. context recognition based ...
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Ubiquitous computing is one of major trends in the IT world. context-aware is one of the heart elements in ubiquitous computing. To understand context, we must have some models which describe the real world. So, in th...
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Ubiquitous computing is one of major trends in the IT world. context-aware is one of the heart elements in ubiquitous computing. To understand context, we must have some models which describe the real world. So, in this paper we present how to model contextual information and give some real context models. We use rule and ontology when we make context model. usingthe models, we can easily interpret meanings of the real world. the result of this paper can be used by context-aware applications
Much context data comes from mobile, transient, and unreliable sources. Such resources are best specified by descriptive names identifying what data is needed rather than which source is to provide it. the design of d...
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Object identification via a perceptual-demonstrative mode of presentation has been studied in cognitive science as a particularly direct and context-dependent means of identifying objects. Several recent works in cogn...
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We test a method of clustering dialects of English according to patterns of shared phonological features. Previous linguistic research has generally considered phonological features as independent of each other, but c...
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Tourists who don't select standard guided tours have to rely on a map or on signs to explore an unknown city on their own. they often end up looking for information about an attraction they're at - but there&#...
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this paper describes that we propose context-aware computing based model in ubiquitous computing's subset for refreshing of human's sleep and examine technological possibility. Human can do fatigue recovery an...
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this paper describes that we propose context-aware computing based model in ubiquitous computing's subset for refreshing of human's sleep and examine technological possibility. Human can do fatigue recovery and growththrough sleep and we propose methodology with model form in more effective and most suitable context for refreshing sleep in this paper.
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