Observatorio de I+D+i UPM

Descripción
Current research in indoor sensor networks has pointed out an emerging interest in occupancy detection for Building Information Management (BIM) because buildings use 68% of Canadas energy in operation and contribute 17% of greenhouse gas (GHG) emissions. This research paper aims at developing a non-intrusive sensing method for predicting occupancy towards reducing building emission while also pro-moting a comfortable and productive working environment, while retaining the privacy of occupants. Towards this end, an IoT platform consisting of three main components: the edge computing environment, cloud based infrastructure, and network communication, together create a robust open source IoT architecture. The open source IoT architecture employs temperature, humidity, and pressure sensors for observing am-bient environmental characteristics while combining PIR motion sensors, CO2, and sound detectors. An occupancy detection model is then developed by applying Support Vector Machine (SVM) to predict occupancy patterns from the incoming IoT sensor data. This platform is a low-cost and highly scalable both in terms of the variety of on board sensors and portability of the sensor nodes, which makes it well suited for multiple applications related to occupancy and environmental monitoring.
Internacional	Si
Nombre congreso	The 6th IEEE International Conference on Internet of Things: Systems, Management and Security (IOTSMS 2019)
Tipo de participación	960
Lugar del congreso	Granada
Revisores	Si
ISBN o ISSN	978-1-7281-2949-5
DOI
Fecha inicio congreso	22/10/2019
Fecha fin congreso	25/10/2019
Desde la página	26
Hasta la página	31
Título de las actas	2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

Esta actividad pertenece a memorias de investigación

• Autor: Alec Parise (University of New Brunswick)
• Autor: Miguel Angel Manso Callejo (UPM)
• Autor: Hung Cao (University of New Brunswick)
• Autor: Marco Mendonca (University of New Brunswick)
• Autor: Harpreet Kohli (University of New Brunswick)
• Autor: Mónica Wachowicz (University of New Brunswick)

• Creador: Departamento: Ingeniería Topográfica y Cartografía