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In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract discriminant features in the multimodal data representation but also to reconstruct the data from the latent representation using encoder-decoder layers. Since...
While smart devices are increasing in numbers, compute resources, and communication capabilities, current application requirements are often outpacing such hardware improvement. Recently, offloading computation to remote cloud resources or closely located computing resources, such as cloudlets or other mobile and IoT devices have been proposed. In this paper, we propose “Cumulus”, an open source platform...
Unmanned Aerial Vehicles are miniature air-crafts that have proliferated in many military and civil applications. Their affordability allows for tasks to be held with not just one but a fleet of UAVs. One of the problems that arise with the use of multi-UAVs is the multi-UAV path planning and assignment problem. We propose three algorithms that aim at assigning energy efficient trajectories for a...
The evolution of mobile devices into highly capable computing platforms that sense, store, and execute complex tasks is making them attractive candidates for edge computational micro-cloud settings. Such solutions are creating novel security challenges due to the increased push for more seamless computational cyber-foraging that leverages the exploding proliferation of mobile devices. A major concern...
We propose a primary user-aware k-hop routing scheme that can be plugged into any cognitive radio network routing protocol to adapt, in real time, to the environmental changes. The main use of this scheme is to make the compromise required between the route overhead and its optimality based on a user-defined utility function. We analytically derive the optimal discovery radius (k) that achieves this...
Wireless sensor and actuator networks have been extensively deployed for enhancing industrial control processes and supply-chains, and many forms of surveillance and environmental monitoring. The availability of low-cost mobile robots equipped with a variety of sensors in addition to communication and computational capabilities makes them particularly promising in target coverage tasks for ad hoc...
As mobile and wireless technologies become more pervasive in our society, people begin to depend on network connectivity regardless of their location. Their mobility, however, implies a dynamic topology where routes to a destination cannot always be guaranteed. The intermittent connectivity, which results from this lack of end-to-end connection, is a dominant problem that leads to user frustration...
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