- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Flood Risk Assessment and Management
- Air Quality Monitoring and Forecasting
- Antenna Design and Optimization
- Optimization and Mathematical Programming
- Urban Stormwater Management Solutions
- Direction-of-Arrival Estimation Techniques
- Risk and Portfolio Optimization
- Air Quality and Health Impacts
- Electromagnetic Scattering and Analysis
Beijing Polytechnic
2017-2019
North China Electric Power University
2015
Extensive uncertainties exist in many resources and environmental management problems, which can be interrelated thus amplify the complexity nonlinearity of study systems. The interactions from dependent random variables pose significant impacts on potential strategies. In this study, an inexact copula-based stochastic programming (ICSP) method was developed to deal with interactive interval characteristics as well address nonlinear dependence among multiple variables. Specifically, their...
In this study, a duality theorem-based algorithm (DTA) for inexact quadratic programming (IQP) is developed municipal solid waste (MSW) management under uncertainty. It improves upon the existing numerical solution method IQP problems. The comparison between DTA and derivative (DAM) shows that provides better solutions than DAM with lower computational complexity. not necessary to identify uncertain relationship objective function decision variables, which required process of DAM. applied...
In this study, a sustainable water resources management (WRM) model with scenario-based mixed fuzzy-stochastic method Green Z-score criterion (SFGZ) is developed for coordinating urban development and conservation in Beijing-Tianjin-Hebei district (denoted as JJJ region). The SFGZ can not only handle uncertainties regarded possibility probability distributions, but also reflect the risk attitudes of policymakers process (WRM). Various combined strategy-regulation scenarios...
Among the directional angle calculation models of Bluetooth 5.1, rectangular hollow array offers advantage shorter sampling time due to its fewer elements compared traditional planar arrays. However, antimultipath algorithms suitable for arrays cannot be applied Therefore, this study proposes a virtual filling algorithm, wherein four matrices are inserted into matrix transform uniform array. This algorithm ensures translation invariance array, enabling application coherent source An...