JOURNAL ARTICLE

A Knowledge-driven Distributed Architecture for Context-Aware Systems

Dennis Lupiana

Year: 2015 Journal:   ARROW@Dublin Institute of Technology (Dublin Institute of Technology)   Publisher: Dublin Institute of Technology

Abstract

As the number of devices increases, it becomes a challenge for the users to use them effectively. This is more challenging when the majority of these devices are mobile. The users and their devices enter and leave different environments where different settings and computing needs may be required. To effectively use these devices in such environments means to constantly be aware of their whereabouts, functionalities and desirable working conditions. This is impractical and hence it is imperative to increase seamless interactions between the users and devices,and to make these devices less intrusive. To address these problems, various responsive computing systems, called context- aware systems, have been developed. These systems rely on architectures to perceive their physical environments in order to appropriately and effortlessly respond. Currently, the majority of the existing architectures focus on acquiring data from sensors, interpreting and sharing it with these systems.

Keywords:
Computer science Architecture Context (archaeology) Focus (optics) Human–computer interaction Mobile device Data science World Wide Web

Metrics

3
Cited By
0.42
FWCI (Field Weighted Citation Impact)
108
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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