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Study of environmental impact of activity recognition systems
This research project aims to analyze and compare the environmental impact of various architectures used in activity recognition systems, with a focus optimizing the balance between (enough) quality of service (QoS) and sustainability. Specifically, the project will focus on the data life-cycle that flows through the three
distinct architectural approaches—device-based, edge-based, and cloud-based— considering the physical devices that support them, the data transferred, the data processing algorithms, and data storage.
Faculty Supervisor:
Paula Lago
Student:
Partner:
Université Grenoble Alpes
Discipline:
Engineering
Sector:
Education
University:
Concordia University
Program:
Globalink Research Award
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