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The Internet of Things (IoT) is becoming important in many areas that include health, entertainment, manufacturing, automotive, home and building automation, industrial, etc. Will it be important for education and more specifically for teaching and learning? If so, what engineering subjects would benefit the most and how effective could the IoT be for teaching and learning? Can IoT technologies and...
IoT systems deployed in industrial and smart factory settings generate large volumes of data at high velocity. Context awareness is mandatory for knowledge discovery and actionable insights from such high-velocity, high-volume IoT data streams. Changes to the context of a data stream are represented in the underlying data distribution. Research in concept drift aims to detect and adapt to such changes...
The proliferation of Internets of Things (IoT) technologies in both industrial and non-industrial settings has led to the accumulation of Big Data sets. Analysis of these high-volume, high-velocity datasets require advanced processing techniques that incorporate parallel and distributed computations. In this paper, we present a novel distributed self-adaptive neural-network algorithm, the Distributed...
The Internet of Things (IoT) considers interconnected things e.g., devices that consumes web services through the internet. Such kind of devices may vary from smart phones, smart TVs, medical devices or industrial devices. Thanks to the development of the ICT field, many standards supports the existence of the IoT devices: HTTP (Hypertext Transferring Protocol), MQTT (Message Queue Telemetry Transport),...
More and more cyber-physical systems and the internet of things push for a multitude of devices and systems, which need to work together to provide the services as required by the users. Nevertheless, the speed of development and the heterogeneity of devices introduces considerable challenges in the development of such systems. This paper describes a solution being implemented in the setting of a...
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