A5100332169- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Advanced Memory and Neural Computing
- Modular Robots and Swarm Intelligence
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Neural Networks and Applications
- Power Systems and Renewable Energy
- Cellular Automata and Applications
- Neural Networks and Reservoir Computing
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Fault Detection and Control Systems
- Advanced Computational Techniques and Applications
- Advanced Steganography and Watermarking Techniques
- High-Voltage Power Transmission Systems
- Embedded Systems and FPGA Design
- Underwater Vehicles and Communication Systems
- Digital Media Forensic Detection
- Advanced Decision-Making Techniques
- Power Systems and Technologies
- Electric and Hybrid Vehicle Technologies
- Smart Grid Energy Management
- Advanced Battery Technologies Research
Xihua University
2016-2025
Beijing Automation Control Equipment Institute
2020-2025
Peking University
2003-2025
Henan University of Science and Technology
2024-2025
Southwest Minzu University
2021-2024
Soochow University
2020-2024
State Ethnic Affairs Commission
2024
University College London
2019-2023
CHN Energy (China)
2023
Wuhan Ship Development & Design Institute
2023
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, (FRSN systems) with trapezoidal numbers are used to model candidate faulty sections and an algebraic algorithm is introduced obtain confidence levels of sections, so as identify sections. FDSNP offers intuitive illustration strictly mathematical expression, good fault-tolerant capacity due its handling incomplete...
China has set ambitious goals to cap its carbon emissions and increase low-carbon energy sources 20% by 2030 or earlier. However, wind solar production can be highly variable: the stability of single wind/solar hybrid wind-solar effects ratio spatial aggregation on remain largely unknown in China, especially at grid cell scale. To address these issues, we analyzed newly 2007–2014 hourly data, which have higher resolution quality than those used previous research. The clearly increased as...
As the last link of an integrated future energy system, smart home management system (HEMS) is critical for a prosumer to intelligently and conveniently manage use their domestic appliances, renewable energies (RES) generation, storage (ESS), electric vehicle (EV). In this paper, we propose holistic model center preference users when scheduling involved physical equipment different natures. Further, dedicatedly designed charging discharging strategy both ESS EV considering capital cost...
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, where the rules a neuron fire when potential that equals given value. The involved values-weights, firing thresholds, consumed by each rule-can be real (computable) numbers, rational integers, and natural numbers. power obtained investigated. For instance, it proved integers (very restricted: 1, -1 for weights, 1 2 as parameters in rules) suffice computing all Turing computable sets numbers...
Spiking neural P systems (SN systems) are a new class of computing models inspired by the neurophysiological behavior biological spiking neurons. In order to make SN capable representing and processing fuzzy uncertain knowledge, we propose in this paper called weighted (WFSN systems). New elements, including truth value, certain factor, logic, output weight, threshold, firing rule, two types neurons, added original definition systems. This allows WFSN adequately characterize features...
In this paper, intuitionistic fuzzy spiking neural P (IFSNP) systems as a variant are proposed by integrating logic into original systems. Compared with common set, set can more finely describe the uncertainty due to its membership and non-membership degrees. Therefore, IFSNP very suitable deal fault diagnosis of power systems, specially incomplete uncertain alarm messages. The modeling method reasoning algorithm based on discussed. Two examples used demonstrate availability effectiveness...
In a biological nervous system, astrocytes play an important role in the functioning and interaction of neurons, have excitatory inhibitory influence on synapses. this work, with inspiration, class computation devices that consist neurons is introduced, called spiking neural P systems (SNPA systems). The power SNPA investigated. It proved simple (all same rule, one per neuron, very form) are Turing universal both generative accepting modes. If bound given number spikes present any neuron...
Inspired by Eckhorn's neuron model that emulates a mammal's visual cortex, this paper proposes new kind of neural-like P system, called coupled neural (CNP) system. The CNP system consists some neurons, each with three components: receptive field, modulation, and output module. systems are distributed parallel-computing directed graph structure like spiking systems. Moreover, have nonlinear coupled-modulation characteristic dynamic threshold mechanism. computational power is discussed....
One-Shot Neural Architecture Search (NAS) is a promising method to significantly reduce search time without any separate training. It can be treated as Network Compression problem on the architecture parameters from an over-parameterized network. However, there are two issues associated with most one-shot NAS methods. First, dependencies between node and its predecessors successors often disregarded which result in improper treatment over zero operations. Second, pruning based their...
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear NSNP systems). In systems, the state each neuron is denoted by real number, and configuration vector used to characterize whole system. A type rules, introduced handle neuron’s firing, where consumed generated amounts spikes are often expressed functions neuron. class distributed parallel nondeterministic computing systems. The computational power discussed. Specifically, it proved that as...
Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and parallel computing model, combining the spiking coupled mechanisms of neurons. This paper focuses on how to apply CNP handle fusion multi-modality medical images proposes novel image method. Based two with local topology, an framework in nonsubsampled shearlet transform (NSST) domain is designed, where used control low-frequency NSST coefficients. The proposed method evaluated 20 pairs compared seven...
Spiking neural P (SNP) systems are a class of neural-like computing models, abstracted by the mechanism spiking neurons. This article proposes new variant SNP systems, called gated (GSNP) which composed Two mechanisms introduced in nonlinear GSNP consisting reset gate and consumption gate. The two gates used to control updating states Based on neurons, prediction model for time series is developed, known as model. Several benchmark univariate multivariate evaluate proposed compare several...
Nonlinear spiking neural P (NSNP) systems are one of neural-like membrane computing models, abstracted by nonlinear mechanisms biological neurons. NSNP have a structure and can show rich dynamics. In this paper, we introduce variant systems, called gated or GNSNP systems. Based on recurrent-like model is investigated, model. Moreover, exchange rate forecasting tasks used as the application background to verify its ability. For purpose, develop prediction based model, ERF-GNSNP followed...
Spiking neural P (SNP) systems are a class of distributed and parallel neural-like computing models that inspired by the mechanism spiking neurons 3rd-generation networks. Chaotic time series forecasting is one most challenging problems for machine learning models. To address this challenge, we first propose nonlinear version SNP systems, called with autapses (NSNP-AU systems). In addition to consumption generation spikes, NSNP-AU have three gate functions, which related states outputs...