Tapani Ristaniemi

TL;DR: In this article, the authors utilized queuing theory to bring a thorough study on the energy consumption, execution delay, and payment cost of offloading processes in a fog computing system, where three queuing models were applied, respectively, to the MD, fog, and cloud centers, and the data rate and power consumption of the wireless link were explicitly considered.

TL;DR: This review summarizes the current progress of tensor decomposition of EEG signals with three aspects, and two fundamental tensor decompposition models, canonical polyadic decomposition (CPD) and Tucker decomposition, are introduced and compared.

TL;DR: Big data analytics to advance edge caching capability is proposed, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resource in future networks.

TL;DR: It is shown that by dividing the packet scheduler into a time domain and a frequency domain and utilizing different algorithms in both domains, the throughput fairness between users can be effectively controlled.

TL;DR: A pattern recognition system for detecting road condition from accelerometer and GPS readings and proposes a speed dependence removal approach for feature extraction and demonstrates its positive effect in multiple feature sets for the road surface anomaly detection task.