A5100696051- Energy, Environment, Economic Growth
- Seismology and Earthquake Studies
- Geophysics and Sensor Technology
- Power Systems and Renewable Energy
- Occupational Health and Safety Research
- Smart Grid Energy Management
- Mercury impact and mitigation studies
- Risk and Safety Analysis
- Analytical chemistry methods development
- Photonic and Optical Devices
- Advanced Computational Techniques and Applications
- Sustainable Building Design and Assessment
- Sustainable Supply Chain Management
- Manufacturing Process and Optimization
- Educational Reforms and Innovations
- Lubricants and Their Additives
- Recycled Aggregate Concrete Performance
- Advanced Manufacturing and Logistics Optimization
- Chinese history and philosophy
- Seismic Waves and Analysis
- Multilevel Inverters and Converters
- Traffic Prediction and Management Techniques
- Environmental Impact and Sustainability
- Ideological and Political Education
- Municipal Solid Waste Management
Qingdao University of Science and Technology
2024-2025
Qingdao University of Technology
2023-2025
Liaoning University
2025
Hangzhou Normal University
2022-2024
State Grid Corporation of China (China)
2023-2024
Liaoning Shihua University
2024
Jilin University of Chemical Technology
2024
Shanghai Electric (China)
2023-2024
Chongqing Technology and Business University
2023-2024
Huazhong University of Science and Technology
2022-2024
This letter proposes a data-driven iterative learning predictive control architecture for power converters. The main objectives of this are to enhance the robustness and remain high performance finite control-set model (FCS-MPC) under unmodeled dynamics parameter mismatch conditions. More specifically, an dynamic linearization technique is utilized equivalently reformulate nonlinear converter system at each operating point. Based on this, model-free adaptive scheme presented iteratively...
Prefabricated buildings that are more environmentally friendly have been vigorously promoted by the Chinese government because of reduced waste and carbon emissions during construction process. Most processes prefabricated completed in component factory, but safety risks hoisting process cannot be ignored. In this paper, initial framework a Bayesian Network (BN) is obtained from combination improved Human Factors Analysis Classification System Model (HFACS) BN. The similarity aggregation...
As the concern for environmental pollution and occupational safety caused by construction industry is gradually increasing worldwide, prefabricated building model has become a type of promoted sustainable societies. In China, management codes buildings are not mature enough accidents occur frequently during process. Therefore, how to analyze determine main factors that affect problem protect lives health workers. this study, we focused our research on accident-prone component-hoisting phase....
The digital economy is gradually emerging as a new driving force and engine for high-quality economic development. In the context of reaching carbon peak neutrality, can empower development urban green technology innovation? Based on panel data 274 cities in China from 2011 to 2019, this paper measures level at city employs two-way fixed effect model empirically analyze impact innovation. results indicate that: (1) Digital exert significant positive This conclusion still holds after series...
Prefabricated building is an efficient mode. Compared with the traditional mode, prefabricated has advantages of less pollution, high construction efficiency, being more labor-saving, and economy, which in line China’s sustainable development strategy. This paper proposes a supplier selection evaluation model based on mechanism equation (SEM) intuitionistic fuzzy analytic hierarchy process (IFAHP). Based detailed literature review, 300 structured questionnaires were distributed to relevant...
Construction safety is related to the life and health of construction workers has always been a hot issue concern for government units. The can use "construction education" reduce probability accidents in process avoid loss property workers. To encourage units provide education before starts promote actively participate education. In this paper, tripartite evolutionary game model government-construction units-construction established, factors affecting each party's behavior strategy are...
Object detection in autonomous driving scenarios has become a popular task recent years. Due to the high-speed movement of vehicles and complex changes surrounding environment, objects different scales need be detected, which places high demands on performance network model. Additionally, devices have varying capabilities, lightweight model is needed ensure stable operation with limited computing power. To address these challenges, we propose called BiGA-YOLO based YOLOv5. We design...
As an efficient measure to protect the environment and reduce energy consumption, promoting prefabricated buildings can lead sustainable development of world economy long-term economic benefits for society. Nevertheless, China, it is immature because high cost difficulties in promotion. The government’s strategies management are crucial building policies. This paper establishes a quadripartite evolutionary game model composed construction units, property developers, homebuyers, government...
In the context of global efforts to alleviate climate change, this study focuses on investigating significance and impact low-carbon city pilot policies (LCCPP), a key strategy in reduction greenhouse gas emissions. Drawing data from prefecture-level cities spanning 2004 2019, explores potential LCCPP enhancing green total factor energy efficiency (GTFEE) employing multitemporal Difference-in-Differences (DID) model examines its transmission mechanisms. First, is shown be effective GTFEE....