Published in IEEE Access
The cooperative jamming (CJ) and decode-and-forward (DF) protocols for physical layer security are studied in this paper. We propose a design that aims at maximizing the security gap, which is defined as the signal-to-noise ratio (SNR) difference between the destination and an eavesdropper, subject to security and reliability constraints defining t...
Published in IEEE Access
The cooperative jamming (CJ) and decode-and-forward (DF) protocols for physical layer security are studied in this paper. We propose a design that aims at maximizing the security gap, which is defined as the signal-to-noise ratio (SNR) difference between the destination and an eavesdropper, subject to security and reliability constraints defining t...
Published in IEEE Access
A microgrid is a small-scale smart network that contains distributed resources and loads and serves several technical, economic and environmental aims. In this kind of power system, the energy generated by the different sources is often collected in an adequate bus system (AC or DC busses), and transported to loads across a distribution system. In ...
Published in IEEE Transactions on Dielectrics and Electrical Insulation
Published in IEEE Transactions on Dielectrics and Electrical Insulation
Published in IEEE/CAA Journal of Automatica Sinica
As the rapid development of automotive telematics, modern vehicles are expected to be connected through heterogeneous radio access technologies and are able to exchange massive information with their surrounding environment. By significantly expanding the network scale and conducting both real-time and long-term information processing, the traditio...
Published in IEEE Transactions on Cybernetics
Large-scale optimization has become a significant yet challenging area in evolutionary computation. To solve this problem, this paper proposes a novel segment-based predominant learning swarm optimizer (SPLSO) swarm optimizer through letting several predominant particles guide the learning of a particle. First, a segment-based learning strategy is ...
Published in IEEE Transactions on Cybernetics
The popular performance profiles and data profiles for benchmarking deterministic optimization algorithms are extended to benchmark stochastic algorithms for global optimization problems. A general confidence interval is employed to replace the significance test, which is popular in traditional benchmarking methods but suffering more and more criti...
Published in IEEE Transactions on Biomedical Engineering
We present a random forest (RF) classification and regression technique to predict, intraoperatively, the unified Parkinson's disease rating scale (UPDRS) improvement after deep brain stimulation (DBS). We hypothesized that a data-informed combination of features extracted from intraoperative microelectrode recordings (MERs) can predict the motor i...
Published in IEEE Transactions on Dielectrics and Electrical Insulation
