A Context-Aware Architecture for Smart Space Environment

Goh, Eg Su; Chieng, David; Mustapha, A.K.; Ngeow, Y.C.; Low, H.K.

doi:10.1109/mue.2007.10

Cited by 11 publications

(5 citation statements)

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“…There are other reasoning engines that are rule based, but do not take into account high level knowledge that could be used to optimize rule design (Goh, 2007). There are also methods that utilise high level knowledge but are instead used to computerize Clinical Practice Guidelines (CPG) so as to operationalize them within Clinical Decision Support Systems (Hussain, 2007).…”

Section: Related Workmentioning

confidence: 99%

Context-Aware Reasoning Engine With High Level Knowledge for Smart Home

Zhu

Yen

Biswas

et al. 2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

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We are interested in providing people living or working in smart home environment with sensor network based assistive technology. We propose a novel rule-based reasoning engine that could be used in ubiquitous environments to infer logical consequences from events received over a sensor network. We introduce methods for rule design with high level knowledge input and using minimum information to infer micro-context. Personalised profiles can be introduced into the reasoning engine to customise features for a particular user using our rule refinement and generation module. New mechanism for sensor-engine communication is also introduced. As a proof of concept, a prototype system (using DROOLS) has been developed to demonstrate the functionalities of our reasoning engine in a simulated smart home environment.

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Section: Related Workmentioning

confidence: 99%

Context-Aware Reasoning Engine With High Level Knowledge for Smart Home

Zhu

Yen

Biswas

et al. 2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

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“…A conceptual framework for rapid prototyping of context-aware applications is given in [24]. Examples of application domain-specific architectures are [25] and [26]. The two survey papers [27], and [28] discuss middleware, architectures, and frameworks.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Developing Context-aware Systems

Alagar¹,

Mohammad²,

Wan³

et al. 2014

EAI Endorsed Transactions on Context-aware Systems and Applicat

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Context-aware computing refers to a general class of mobile real-time reactive systems that continuously sense their physical environment, and adapt their behavior accordingly. Context-awareness is an essential inherent property of ubiquitous computing or pervasive computing systems. Such systems are much richer and more complex than many software systems. The richness mainly comes from context-awareness, the heterogeneity of mobile devices and their service types, while complexity arises in the multitude of adaptations enforced by system policies. In order to provide the true intended effect on the application of services without compromising on the richness, the complexity must be tamed. Towards this goal, this paper proposes a component-based architecture for a Context-aware Framework in which context, awareness capabilities, reactions, and adaptations are formally dealt with. Two formal languages are designed to express context situations and express workflow policies, which respectively lead to a context reasoner and to enforce adaptations. With these formalisms and a component design that can be formalized, this work fulfills a formal approach to construct context-aware applications. Two case studies are explained, of which one is a proof-of-concept case study from service-oriented domain. It is fully implemented to illustrate the expressiveness of the framework design and robustness of its implementation.

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“…[4,5,6,7,8,9,10,11]. An example of a typical application is the Context-Aware Personalised Service Delivery [6] that provides an intelligent multi -agent system for context-aware service delivery and recommendations to mobile users, As well as different applications, solutions such as The Hydrogen Approach [10] address the issue of having an appropriate architecture to deal with context.…”

Section: Introductionmentioning

confidence: 99%