Jun Ming

This paper presents a cell-like fuzzy P system (CFPS for short). Expand

This paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system) that is capable of describing incomplete and uncertain fault signals from a supervisory control and data acquisition system equipped together with electric power systems. Expand

This paper proposed a novel method of background modeling and subtraction based on local-linear-dependence-based Cauchy statistical model. Expand

The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. Expand

We propose a space similarity decomposition model based on the Weber-Fechner law and SSIM's structure parameter to decompose the image into mean value, similarity, and vertical components to assess image quality. Expand

Based on triangular fuzzy spiking neural P systems (TFSNP systems, in short), a fault diagnosis method for power system is presented. Expand

In order to generate color test image consistent with human perception in aspect of saturation, lightness, and hue of image, we propose a saturation test image design method based on CIEDE2000 color difference formula. Expand

An evaluation method that combines empirical mode decomposition (EMD) with a one-dimensional convolutional neural network (1D-CNN) of DC power quality is proposed. Expand

Cell-like P system is selected as a computational framework for data clustering based on studies of previous membrane clustering algorithm in this paper, particle swarm optimization algorithm is used as the optimization algorithm to construct the membrane algorithm and the parallel computing characteristic of programmable logic device FPGA is used to realizedata clustering. Expand