A5042732847- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Metaheuristic Optimization Algorithms Research
- Quantum Information and Cryptography
- Optical Network Technologies
- Caching and Content Delivery
- Soil Carbon and Nitrogen Dynamics
- Evolutionary Algorithms and Applications
- Advanced Data Storage Technologies
- Graph Theory and Algorithms
- Image Processing and 3D Reconstruction
- Advanced Optical Network Technologies
- Spectroscopy and Quantum Chemical Studies
- Complex Network Analysis Techniques
- Blind Source Separation Techniques
- Photonic and Optical Devices
- Advanced Photonic Communication Systems
- Advanced Multi-Objective Optimization Algorithms
- Advanced Algorithms and Applications
- Peer-to-Peer Network Technologies
- Peatlands and Wetlands Ecology
- Image Processing Techniques and Applications
- Advanced Measurement and Detection Methods
- Soil and Water Nutrient Dynamics
- Agriculture, Soil, Plant Science
Mahasarakham University
2025
Changzhou Institute of Technology
2024
Southwest Minzu University
2020-2023
Heilongjiang Bayi Agricultural University
2019-2021
Chinese Academy of Sciences
2020-2021
University of Chinese Academy of Sciences
2018-2021
AviChina Industry & Technology (China)
2015-2019
Widespread soil acidification due to atmospheric acid deposition and agricultural fertilization may greatly accelerate carbonate dissolution CO2 release. However, date, few studies have addressed these processes. Here, we use meta-analysis nationwide-survey datasets investigate changes in inorganic carbon (SIC) stocks China. We observe an overall decrease SIC topsoil (0-30 cm) (11.33 g C m-2 yr-1) from the 1980s 2010s. Total decreased by ∼8.99 ± 2.24% (1.37 0.37 Pg C). The average losses...
This study evaluates the application of virtual reality (VR) technology in disaster prevention and mitigation education at Sichuan Provincial Disaster Prevention Mitigation Education Center. We conducted a comparative analysis between two groups: one using traditional emergency training methods (control group) other VR-based (experimental group). Data from 472 participants revealed that experimental group, which experienced training, reported greater satisfaction perceived as more immersive...
A multi-scale quantum harmonic oscillator algorithm (MQHOA) is a population-based proposed recently. It utilizes the wave function to locate global optimum of numerical optimization problem. As MQHOA employs elitism replace worst particle in each iteration cycle, it reduces one particles run, which will cripple diversity population and slow down convergence speed. Therefore, be easily trapped into local optima. In this paper, we suggest new with truncated mean stabilization (TS-MQHOA) policy...
Data placement considerably affects the I/O performance of distributed storage systems such as HDFS. An ideal algorithm should keep load evenly among different nodes. Most existing algorithms with balance guarantee depend on information data popularity to make decisions. However, is typically not available in phase. Furthermore, it usually varies during lifecycle. In this paper, we propose a new called Balanced Distribution for Each Age Group (BEAG), which makes decisions absence...
A noise-enhanced quantum annealing algorithm is proposed for an efficient process to obtain the optimal solution. Simultaneous multiple noises are introduced as kinetic energy term into Schrödinger equation, which effectively reduces probability of falling a local optimum by parallel process. The experimental results on numerical optimisation problem and real-world plug-in hybrid electric vehicles charging show that scheme very competitive.
In this letter, by establishing the Schrödinger equation of optimization problem, problem is transformed into a constrained state quantum with objective function as potential energy. The mathematical relationship between and wave established, interpretation realized. Under black box model, used to establish kinetic equation, i.e., Fokker-Planck time evolution algorithm, basic iterative structure algorithm given according equation. establishment allows algorithms be studied using dynamic...
Multiscale quantum harmonic oscillator algorithm (MQHOA) is an optimization based on behavior. It transforms the function into solving ground state wave through transformation of SchrÖdinger equation and utilizes processes energy level stabilization, transition scale adjustment to search optimal solution objective function. Original MQHOA accelerates process by replacing worst with mean value in transition. This operation may reduce diversity lead prematurity. In order improve population...