Presence Detection from Smart Home Motion Sensor Datasets: A Model

Oriwoh, Edewede; Conrad, Marc

doi:10.1007/978-3-319-32703-7_240

Cited by 2 publications

(1 citation statement)

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“…the set of simple events, is not offline phase for analyzing and windowing sufficient to predict a specific activity. the streaming data (Conrad, 2016).…”

Section: Smart Windowing a Technique That Can Be Used For Online Sensormentioning

confidence: 99%

A Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data Analytics

Shaker¹,

Khedr²,

Kholeif³

2019

Journal of Computer Science

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Smart homes with smart technologies can provide better insights into saving energy and improving the quality of our life. All connected appliances are Internet of Things (IoT) devices that support applications inside a smart home which produce an amount of data that shows what households are doing during their daily life. IoT and Big Data Analytics (BDA) became the most popular technologies in our smart life that are rapidly affecting all areas of technologies and businesses to increase the benefits for organizations and individuals. This research paper contains a review study for recent papers with different techniques that discusses BDA challenges and benefits of a smart home and its relationship with IoT. Moreover, the research paper also contains a proposed approach with its technique (clustering algorithm) for analysing data to solve the main research problem of the large power crisis in Egypt due to the high electricity consumption. Thus, using associate rule to recommend actions based on these data to reduce electricity consumption in different houses in Egypt based on each inhabitant's interest.

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“…the set of simple events, is not offline phase for analyzing and windowing sufficient to predict a specific activity. the streaming data (Conrad, 2016).…”

Section: Smart Windowing a Technique That Can Be Used For Online Sensormentioning

confidence: 99%