3 papers
cs.DC2023
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera +3
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of t…
cs.HC2022
Realistic Modeling of Human Timings for Wearable Cognitive Assistance
Manuel O. J. Olguín Muñoz, Vishnu N. Moothedath, Jaya Prakash Champati +3
Wearable Cognitive Assistance (WCA) applications present a challenge to benchmark and characterize due to their human-in-the-loop nature. Employing user testing to optimize system…
cs.DC2022
Industrial Edge-based Cyber-Physical Systems -- Application Needs and Concerns for Realization
Martin Törngren, Haydn Thompson, Erik Herzog +3
Industry is moving towards advanced Cyber-Physical Systems (CPS), with trends in smartness, automation, connectivity and collaboration. We examine the drivers and requirements for…