A5101607657- Impact of Light on Environment and Health
- Air Quality and Health Impacts
- Vehicle emissions and performance
- Energy, Environment, Economic Growth
- Adaptive Control of Nonlinear Systems
- Photovoltaic System Optimization Techniques
- Land Use and Ecosystem Services
- Urban Transport and Accessibility
- Fluid Dynamics and Mixing
- Stability and Control of Uncertain Systems
- Climate change impacts on agriculture
- Solar Radiation and Photovoltaics
- Environmental Impact and Sustainability
- Atmospheric and Environmental Gas Dynamics
- Heat Transfer and Boiling Studies
- Soil and Land Suitability Analysis
- Fault Detection and Control Systems
- Mosquito-borne diseases and control
- Flow Measurement and Analysis
- Migration, Aging, and Tourism Studies
- Power Systems and Renewable Energy
- Animal Disease Management and Epidemiology
- Zoonotic diseases and public health
- Network Time Synchronization Technologies
- Hydrology and Drought Analysis
Lanzhou City University
2019-2024
City University of Macau
2019-2024
Northwest Normal University
2024
Zhejiang Sci-Tech University
2022-2023
China Three Gorges University
2021-2023
East China Jiaotong University
2014
There are some problems in the photovoltaic microgrid system due to solar irradiance-change environment, such as power fluctuation, which leads larger imbalance and affects stable operation of microgrid. Aiming at mismatch loss under partial shading systems, this paper proposed a distributed maximum point tracking (DMPPT) approach based on an improved sparrow search algorithm (ISSA). First, used center gravity reverse learning mechanism initialize population, so that population has better...
It is difficult to accurately estimate the spatial distribution of carbon dioxide (CO2) at grid scale because lack city-level statistical data. In this paper, CO2 emission regions were devided into urban area, industrial area and rural in order calculate emissions. addition, a more accurate calculation model for energy-related emissions was proposed through integrating nighttime light datasets land use The maps estimated different compared examined using dependence overlay methods understand...
Historical and Cultural Towns (Villages) (HCTVs) are the important parts in recordation of traditional culture, folk customs architectural art China. However, with rapid development economy rural urbanization, these towns villages faced a series problems, such as features lost, architecture destroyed lack long-term comprehensive effective plan for scientific conservation measures. As result, historic heritages their surroundings serious crisis will be to certain extent. This paper chose 799...
Bubble synthesis technology is beneficial to reduce the cost of visualization research on gas–liquid two-phase flow and provides an effective tool benchmark data for development advanced image processing algorithms. In this work, we proposed StyleGAN2-based bubbly generator, which was trained 15 000 images obtained at 10 different superficial gas velocities. The main factors that restrict network quality have been investigated, quantitative evaluation methods based Yolov3 detector are also...
In recent years, bubble segmentation and detection algorithms have significantly contributed to the study of two-phase interface parameters. Nevertheless, high-quality bubbly flow image data acquisition remains a major constraint their development. The application deep learning methods, especially Conditional StyleGAN2, has alleviated this problem some extent. However, it is restricted categorical conditions, which means could only generate images at superficial gas velocities included in...
Different period remote sensing images of three years in 2000, 2010 and 2019 were selected as the data source, cost weighted distance model urban-rural potential index used to express spatial connection.Besides, expansion intensity speed also analyze urban rural structure Shiyang River Basin.GIS technology combined with road grade length was calculate shortest time between nods.Spatial association interaction systems analyzed through distance, changes influential patterns Basin discussed.The...
Aiming at the problem of high fluctuation and instability photovoltaic power, a power prediction method combining two techniques has been proposed in this study. In method, fast correlation filtering algorithm used to extract meteorological features having strong with generation. The complete ensemble empirical mode decomposition an adaptive noise model decompose data into low-frequency components reduce volatility. Then, long short-term neural network deep confidence were combined new...
Compared with traditional networked control systems, the sampling rates of nodes are not same in multirate systems (NCSs). This paper presents a new stabilization method for NCSs. A NCSs simultaneous considering time-delay and packet-dropout is modeled as time-varying system time-delay. The proposed Lyapunov function deceases at each input signal updating point, which largely ignored prior works. Sufficient condition stochastic mean-square stability given, cost value less than bound....
The issue of H infinite control for multi-rate networked systems (NCSs) with both time-delay and packet-dropout is discussed in this paper. Compared traditional NCSs, the sampling periods nodes NCSs are different. Based on Markov theory, a new approach proposed to convert into non-uniform system. A stochastic mean-square sate feedback controller given. Two examples given verify theory results