Moving Photovoltaic Installations
…data. For moving PV installations, for example, on top of hybrid electric vehicles and battery-powered electric vehicles, the sampling rate was 6000 samples per second. We analyze the changes in…
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3D Multi-Resolution Optical Flow Analysis of Cardiovascular Pulse Propagation in Human Brain
…Hz. The results show that on average the cardiovascular pulse propagates from major arteries via cerebral spinal fluid spaces into all tissue compartments in the brain. We present an example,…
Core–Shell Heterostructures of Rutile and Anatase TiO₂ Nanofibers for Photocatalytic Solar Energy Conversion
…as compared to AEROXIDE TiO₂ P₂₅. The results in conjunction with KPFM measurements indicated that, in the heterostructure, electron–hole pairs are efficiently separated, the excited electrons stay in the anatase…
Side Information for Face Completion
Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types as well as significant amount of error corruption,…
Online Optimization for UAV-Assisted Distributed Fog Computing in Smart Factories of Industry 4.0
…source UAV to offload computing tasks from ground sensors within a smart factory and allocate them to neighboring fog UAVs for distributed task computing, before the source UAV arrives at…
Wireless Communications and Control for Swarms of Cellular-Connected UAVs
…UAVs in a swarm can utilize wireless communications to collect information, like velocity and heading angle, from surrounding UAVs for coordinating their operations and maintaining target speed and intra-UAV distance….
Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications
Scheduling fast uplink grant transmissions for machine type communications (MTCs) is one of the main challenges of future wireless systems. In this paper, a novel fast uplink grant scheduling method…
Edge Caching for Cache Intensity under Probabilistic Delay Constraint
…refer to the product of “cache intensity” under probabilistic delay constraint. We examine the cases when (i) either BS intensity or the cache size is held fixed, and (ii) when…
Federated learning for ultra-reliable low-latency V2V communications
…the proposed method yields up to 60% reductions of VUEs with large queue lengths, without an additional power consumption, compared to an average queue-based baseline. Compared to systems with fixed…
Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications
…on-demand wireless service to cellular users. In order to have a comprehensive analysis of cellular traffic, an ML framework based on a Gaussian mixture model and a weighted expectation maximization…